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ORCIDIEEE Transactions on Neural Networks and Learning Systems, Volume 33
Volume 33, Number 1, January 2022
- Yongduan Song
:
Editorial. 2 - Ahmad Chaddad, Lama Hassan, Christian Desrosiers:
Deep Radiomic Analysis for Predicting Coronavirus Disease 2019 in Computerized Tomography and X-Ray Images. 3-11 - Ruxin Wang, Chaojie Ji, Yuxiao Zhang, Ye Li:
Focus, Fusion, and Rectify: Context-Aware Learning for COVID-19 Lung Infection Segmentation. 12-24 - Xiongbo Wan, Yongzhi Li, Yuqing Li, Min Wu:
Finite-Time H∞ State Estimation for Two-Time-Scale Complex Networks Under Stochastic Communication Protocol. 25-36 - Jiasen Wang, Jun Wang:
Two-Timescale Multilayer Recurrent Neural Networks for Nonlinear Programming. 37-47 - Dong Shen, Xinghuo Yu:
Learning Tracking Over Unknown Fading Channels Based on Iterative Estimation. 48-60 - Sara Kamali, Seyyed Mostafa Tabatabaei, Mohammad Mehdi Arefi, Shen Yin:
Prescribed Performance Quantized Tracking Control for a Class of Delayed Switched Nonlinear Systems With Actuator Hysteresis Using a Filter-Connected Switched Hysteretic Quantizer. 61-74 - Zhiwen Yu, Fengxu Ye, Kaixiang Yang, Wenming Cao, C. L. Philip Chen, Lianglun Cheng, Jane You, Hau-San Wong:
Semisupervised Classification With Novel Graph Construction for High-Dimensional Data. 75-88 - Nuha Zamzami, Nizar Bouguila:
Sparse Count Data Clustering Using an Exponential Approximation to Generalized Dirichlet Multinomial Distributions. 89-102 - Jiaxu Cui, Bo Yang, Bingyi Sun, Xia Hu, Jiming Liu:
Scalable and Parallel Deep Bayesian Optimization on Attributed Graphs. 103-116 - Yi Zhu, Xiwen Liang, Bingqian Lin, Qixiang Ye, Jianbin Jiao, Liang Lin, Xiaodan Liang:
Configurable Graph Reasoning for Visual Relationship Detection. 117-129 - Liyong Fu, Zechao Li, Qiaolin Ye, Hang Yin, Qingwang Liu, Xiaobo Chen, Xijian Fan, Wankou Yang, Guowei Yang:
Learning Robust Discriminant Subspace Based on Joint L₂, ₚ- and L₂, ₛ-Norm Distance Metrics. 130-144 - Haoran Wang, Licheng Jiao, Shuyuan Yang, Lingling Li, Zexin Wang:
Simple and Effective: Spatial Rescaling for Person Reidentification. 145-156 - Shuhua Gao, Changkai Sun, Cheng Xiang, Kairong Qin, Tong Heng Lee:
Finite-Horizon Optimal Control of Boolean Control Networks: A Unified Graph-Theoretical Approach. 157-171 - Lu Yi, Man-Wai Mak:
Improving Speech Emotion Recognition With Adversarial Data Augmentation Network. 172-184 - Jianglin Lu, Zhihui Lai, Hailing Wang, Yudong Chen, Jie Zhou, Linlin Shen:
Generalized Embedding Regression: A Framework for Supervised Feature Extraction. 185-199 - Di Lin, Yi Wang, Lingyu Liang, Ping Li, C. L. Philip Chen:
Deep LSAC for Fine-Grained Recognition. 200-214 - Xiaofeng Cao, Ivor W. Tsang:
Shattering Distribution for Active Learning. 215-228 - Charles K. Chui, Shao-Bo Lin, Bo Zhang, Ding-Xuan Zhou:
Realization of Spatial Sparseness by Deep ReLU Nets With Massive Data. 229-243 - Maoguo Gong, Jia Liu, Hao Li, Yu Xie, Zedong Tang:
Disentangled Representation Learning for Multiple Attributes Preserving Face Deidentification. 244-256 - Ting-Bing Xu, Cheng-Lin Liu:
Deep Neural Network Self-Distillation Exploiting Data Representation Invariance. 257-269 - Jinna Li, Jinliang Ding, Tianyou Chai, Frank L. Lewis, Sarangapani Jagannathan:
Adaptive Interleaved Reinforcement Learning: Robust Stability of Affine Nonlinear Systems With Unknown Uncertainty. 270-280 - Adín Ramírez Rivera, Adil Khan, Imad Eddine Ibrahim Bekkouch, Taimoor Shakeel Sheikh:
Anomaly Detection Based on Zero-Shot Outlier Synthesis and Hierarchical Feature Distillation. 281-291 - Yi Zhang, Lulu Wang, Richard C. Wilson, Kai Liu:
An R-Convolution Graph Kernel Based on Fast Discrete-Time Quantum Walk. 292-303 - Guoxian Yu, Xuanwu Liu, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Flexible Cross-Modal Hashing. 304-314 - Jianghong Ma, Tommy W. S. Chow:
Topic-Based Instance and Feature Selection in Multilabel Classification. 315-329 - Hong Hui Tan, King Hann Lim:
Two-Phase Switching Optimization Strategy in Deep Neural Networks. 330-339 - Lin Yang, Wentao Fan, Nizar Bouguila:
Clustering Analysis via Deep Generative Models With Mixture Models. 340-350 - Shruti Sharma, Santanu Chaudhury, Jayadeva:
Block Sparse Variational Bayes Regression Using Matrix Variate Distributions With Application to SSVEP Detection. 351-365 - Seunghyun Lee, Byung Cheol Song:
Knowledge Transfer via Decomposing Essential Information in Convolutional Neural Networks. 366-377 - Kui Jiang, Zhongyuan Wang, Peng Yi, Tao Lu, Junjun Jiang, Zixiang Xiong:
Dual-Path Deep Fusion Network for Face Image Hallucination. 378-391 - Tianyue Zhang, Furao Shen, Tao Zhu, Jian Zhao:
An Evolutionary Orthogonal Component Analysis Method for Incremental Dimensionality Reduction. 392-405 - Hong-Bing Zeng, Zheng-Liang Zhai, Huaicheng Yan, Wei Wang:
A New Looped Functional to Synchronize Neural Networks With Sampled-Data Control. 406-415 - Qifeng Lin, Jianhui Zhao, Gang Fu, Zhiyong Yuan:
CRPN-SFNet: A High-Performance Object Detector on Large-Scale Remote Sensing Images. 416-429 - Honggang Chen, Xiaohai He, Hong Yang, Linbo Qing, Qizhi Teng:
A Feature-Enriched Deep Convolutional Neural Network for JPEG Image Compression Artifacts Reduction and its Applications. 430-444 - Xia Wang, Bin Xu, Peng Shi, Shuai Li:
Efficient Learning Control of Uncertain Fractional-Order Chaotic Systems With Disturbance. 445-450
Volume 33, Number 2, February 2022
- Jiageng Wu, Yang Yan, Dong-Xu Zhang, Bo-Wen Liu, Qing-Bing Zheng, Xiao-Liang Xie, Shi-Qi Liu, Shengxiang Ge, Zeng-Guang Hou, Ning-Shao Xia:
Machine Learning for Structure Determination in Single-Particle Cryo-Electron Microscopy: A Systematic Review. 452-472 - Sicheng Zhao, Xiangyu Yue, Shanghang Zhang, Bo Li, Han Zhao, Bichen Wu, Ravi Krishna, Joseph E. Gonzalez, Alberto L. Sangiovanni-Vincentelli, Sanjit A. Seshia, Kurt Keutzer:
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation. 473-493 - Shaoxiong Ji, Shirui Pan, Erik Cambria, Pekka Marttinen, Philip S. Yu:
A Survey on Knowledge Graphs: Representation, Acquisition, and Applications. 494-514 - Mrutyunjaya Sahani, Pradipta Kishore Dash:
FPGA-Based Semisupervised Multifusion RDCNN of Process Robust VMD Data With Online Kernel RVFLN for Power Quality Events Recognition. 515-527 - Liu Yang, George Em Karniadakis:
Potential Flow Generator With L2 Optimal Transport Regularity for Generative Models. 528-538 - Jin Chen, Xinxiao Wu, Lixin Duan, Shenghua Gao:
Domain Adversarial Reinforcement Learning for Partial Domain Adaptation. 539-553 - Jinwoo Kim, Heeseok Oh, Woojae Kim, Seonghwa Choi, Wookho Son, Sanghoon Lee:
A Deep Motion Sickness Predictor Induced by Visual Stimuli in Virtual Reality. 554-566 - Masaki Kobayashi:
Noise-Robust Projection Rule for Rotor and Matrix-Valued Hopfield Neural Networks. 567-576 - Ning Gong, Nianmin Yao, Shun Guo:
Seeds: Sampling-Enhanced Embeddings. 577-586 - Yang Shi, Long Jin, Shuai Li, Jian Li, Jipeng Qiang, Dimitrios Gerontitis:
Novel Discrete-Time Recurrent Neural Networks Handling Discrete-Form Time-Variant Multi-Augmented Sylvester Matrix Problems and Manipulator Application. 587-599 - Changde Du, Changying Du, Lijie Huang, Haibao Wang, Huiguang He:
Structured Neural Decoding With Multitask Transfer Learning of Deep Neural Network Representations. 600-614 - Zhengtai Xie, Long Jin, Xin Luo, Zhongbo Sun, Mei Liu:
RNN for Repetitive Motion Generation of Redundant Robot Manipulators: An Orthogonal Projection-Based Scheme. 615-628 - Jian Liu, Xiaoe Ruan, Yuanshi Zheng:
Iterative Learning Control for Discrete-Time Systems With Full Learnability. 629-643 - Qiang Hu, Hao Zhang, Feifei Gao, Chengwen Xing, Jianping An:
Analysis on the Number of Linear Regions of Piecewise Linear Neural Networks. 644-653 - Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong:
Asymmetric Graph-Guided Multitask Survival Analysis With Self-Paced Learning. 654-666 - Xiuyu Zhang, Bin Li, Zhi Li, Chenguang Yang, Xinkai Chen, Chun-Yi Su:
Adaptive Neural Digital Control of Hysteretic Systems With Implicit Inverse Compensator and Its Application on Magnetostrictive Actuator. 667-680 - Hao Fu, Xin Chen, Wei Wang, Min Wu:
Observer-Based Adaptive Synchronization Control of Unknown Discrete-Time Nonlinear Heterogeneous Systems. 681-693 - Guibing Guo, Huan Zhou, Bowei Chen, Zhirong Liu, Xiao Xu, Xu Chen, Zhenhua Dong, Xiuqiang He:
IPGAN: Generating Informative Item Pairs by Adversarial Sampling. 694-706 - Jingwei Xin, Jie Li, Xinrui Jiang, Nannan Wang, Heng Huang, Xinbo Gao:
Wavelet-Based Dual Recursive Network for Image Super-Resolution. 707-720 - Zhengjue Wang, Bo Chen, Hao Zhang, Hongwei Liu:
Unsupervised Hyperspectral and Multispectral Images Fusion Based on Nonlinear Variational Probabilistic Generative Model. 721-735 - Dan Yang, Xiaodi Li, Shiji Song:
Finite-Time Synchronization for Delayed Complex Dynamical Networks With Synchronizing or Desynchronizing Impulses. 736-746 - Heng-Chao Li, Wen-Shuai Hu, Wei Li, Jun Li, Qian Du, Antonio Plaza:
A3 CLNN: Spatial, Spectral and Multiscale Attention ConvLSTM Neural Network for Multisource Remote Sensing Data Classification. 747-761 - Yaran Chen, Haoran Li, Ruiyuan Gao, Dongbin Zhao:
Boost 3-D Object Detection via Point Clouds Segmentation and Fused 3-D GIoU-L₁ Loss. 762-773 - Sheng Wu, Wei-Shi Zheng:
Semisupervised Feature Learning by Deep Entropy-Sparsity Subspace Clustering. 774-788 - Yajun Zhang, Hong Niu, Jinmei Tao, Xusheng Li:
Novel Data and Neural Network-Based Nonlinear Adaptive Switching Control Method. 789-797 - Liangli Zhen, Peng Hu, Xi Peng, Rick Siow Mong Goh, Joey Tianyi Zhou:
Deep Multimodal Transfer Learning for Cross-Modal Retrieval. 798-810 - Yunfei Zheng, Badong Chen, Shiyuan Wang, Weiqun Wang, Wei Qin:
Mixture Correntropy-Based Kernel Extreme Learning Machines. 811-825 - Kai Li, Zhengming Ding, Kunpeng Li, Yulun Zhang, Yun Fu:
Vehicle and Person Re-Identification With Support Neighbor Loss. 826-838 - Junjun Jiang, Jiayi Ma, Xianming Liu:
Multilayer Spectral-Spatial Graphs for Label Noisy Robust Hyperspectral Image Classification. 839-852 - Yongchao Liu, Qidan Zhu, Guoxing Wen:
Adaptive Tracking Control for Perturbed Strict-Feedback Nonlinear Systems Based on Optimized Backstepping Technique. 853-865 - Xin Jin, Yanping Xie, Xiu-Shen Wei, Borui Zhao, Yongshun Zhang, Xiaoyang Tan, Yang Yu:
A Lightweight Encoder-Decoder Path for Deep Residual Networks. 866-878 - Qinglai Wei, Liao Zhu, Ruizhuo Song, Pinjia Zhang, Derong Liu, Jun Xiao:
Model-Free Adaptive Optimal Control for Unknown Nonlinear Multiplayer Nonzero-Sum Game. 879-892 - Mingrui Zhu, Jie Li, Nannan Wang, Xinbo Gao:
Knowledge Distillation for Face Photo-Sketch Synthesis. 893-906
Volume 33, Number 3, March 2022
- Deheng Ye, Guibin Chen, Peilin Zhao, Fuhao Qiu, Bo Yuan, Wen Zhang, Sheng Chen, Mingfei Sun, Xiaoqian Li, Siqin Li, Jing Liang, Zhenjie Lian, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang:
Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. 908-918 - Arne Traue, Gerrit Book, Wilhelm Kirchgässner, Oliver Wallscheid:
Toward a Reinforcement Learning Environment Toolbox for Intelligent Electric Motor Control. 919-928 - Hao-Hsuan Chang, Lingjia Liu, Yang Yi:
Deep Echo State Q-Network (DEQN) and Its Application in Dynamic Spectrum Sharing for 5G and Beyond. 929-939 - Rudrasis Chakraborty, Yifei Xing, Stella X. Yu:
SurReal: Complex-Valued Learning as Principled Transformations on a Scaling and Rotation Manifold. 940-951 - Ali Kazemy, James Lam, Xian-Ming Zhang:
Event-Triggered Output Feedback Synchronization of Master-Slave Neural Networks Under Deception Attacks. 952-961 - Rui Zhang, Bin Xu, Peng Shi:
Output Feedback Control of Micromechanical Gyroscopes Using Neural Networks and Disturbance Observer. 962-972 - Zhipeng Tan, Jing Chen, Qi Kang, Mengchu Zhou, Abdullah Abusorrah, Khaled Sedraoui:
Dynamic Embedding Projection-Gated Convolutional Neural Networks for Text Classification. 973-982 - Hong Huang, Yu Song, Yao Wu, Jia Shi, Xia Xie, Hai Jin:
Multitask Representation Learning With Multiview Graph Convolutional Networks. 983-995 - Giuseppe Carlo Calafiore, Giulia Fracastoro:
Sparse ℓ1- and ℓ2-Center Classifiers. 996-1009 - Yiming Jiang, Yaonan Wang, Zhiqiang Miao, Jing Na, Zhijia Zhao, Chenguang Yang:
Composite-Learning-Based Adaptive Neural Control for Dual-Arm Robots With Relative Motion. 1010-1021 - Tatsuya Yokota, Hidekata Hontani, Qibin Zhao, Andrzej Cichocki:
Manifold Modeling in Embedded Space: An Interpretable Alternative to Deep Image Prior. 1022-1036 - Lu Li, Wei Li, Ying Qu, Chunhui Zhao, Ran Tao, Qian Du:
Prior-Based Tensor Approximation for Anomaly Detection in Hyperspectral Imagery. 1037-1050 - Zhaohui Che, Ali Borji, Guangtao Zhai, Suiyi Ling, Jing Li, Xiongkuo Min, Guodong Guo, Patrick Le Callet:
SMGEA: A New Ensemble Adversarial Attack Powered by Long-Term Gradient Memories. 1051-1065 - Qi Wang, Tao Han, Zequn Qin, Junyu Gao, Xuelong Li:
Multitask Attention Network for Lane Detection and Fitting. 1066-1078 - Zhiwen Fang, Jiafei Liang, Joey Tianyi Zhou, Yang Xiao, Feng Yang:
Anomaly Detection With Bidirectional Consistency in Videos. 1079-1092 - David Haldimann, Marco Guerriero, Yannick Maret, Nunzio Bonavita, Gregorio Ciarlo, Marta Sabbadin:
A Scalable Algorithm for Identifying Multiple-Sensor Faults Using Disentangled RNNs. 1093-1106 - Wei Tao, Gao-wei Wu, Qing Tao:
Momentum Acceleration in the Individual Convergence of Nonsmooth Convex Optimization With Constraints. 1107-1118 - Jun Li, Hongfu Liu, Zhiqiang Tao, Handong Zhao, Yun Fu:
Learnable Subspace Clustering. 1119-1133 - Qiang Yu, Shiming Song, Chenxiang Ma, Linqiang Pan, Kay Chen Tan:
Synaptic Learning With Augmented Spikes. 1134-1146 - Zan Gao, Leming Guo, Tongwei Ren, An-An Liu, Zhiyong Cheng, Shengyong Chen:
Pairwise Two-Stream ConvNets for Cross-Domain Action Recognition With Small Data. 1147-1161 - Jinjin Xu, Wenli Du, Yaochu Jin, Wangli He, Ran Cheng:
Ternary Compression for Communication-Efficient Federated Learning. 1162-1176 - Zhen Xiang, David J. Miller, George Kesidis:
Detection of Backdoors in Trained Classifiers Without Access to the Training Set. 1177-1191 - Shaohua Luo, Frank L. Lewis, Yongduan Song, Hassen M. Ouakad:
Optimal Synchronization of Unidirectionally Coupled FO Chaotic Electromechanical Devices With the Hierarchical Neural Network. 1192-1202 - Xin Luo, Zhigang Liu, Long Jin, Yue Zhou, Mengchu Zhou:
Symmetric Nonnegative Matrix Factorization-Based Community Detection Models and Their Convergence Analysis. 1203-1215 - Yimeng Qi, Long Jin, Xin Luo, MengChu Zhou:
Recurrent Neural Dynamics Models for Perturbed Nonstationary Quadratic Programs: A Control-Theoretical Perspective. 1216-1227 - Yuanheng Zhu, Dongbin Zhao:
Online Minimax Q Network Learning for Two-Player Zero-Sum Markov Games. 1228-1241 - Shiliang Sun, Ziang Dong, Jing Zhao:
Conditional Random Fields for Multiview Sequential Data Modeling. 1242-1253 - Chao Zhang, Huaxiong Li, Yuhua Qian, Chunlin Chen, Xianzhong Zhou:
Locality-Constrained Discriminative Matrix Regression for Robust Face Identification. 1254-1268 - Hongyan Zhang, Yue Liao, Honghai Yang, Guangyi Yang, Liangpei Zhang:
A Local-Global Dual-Stream Network for Building Extraction From Very-High-Resolution Remote Sensing Images. 1269-1283 - JunKyu Lee, Dimitrios S. Nikolopoulos, Hans Vandierendonck:
Mixed-Precision Kernel Recursive Least Squares. 1284-1298 - Chun Wai Chiu, Leandro L. Minku:
A Diversity Framework for Dealing With Multiple Types of Concept Drift Based on Clustering in the Model Space. 1299-1309 - Yupei Zheng, Xin Yu, Miaomiao Liu, Shunli Zhang:
Single-Image Deraining via Recurrent Residual Multiscale Networks. 1310-1323 - Wendyam Eric Lionel Ilboudo, Taisuke Kobayashi, Kenji Sugimoto:
Robust Stochastic Gradient Descent With Student-t Distribution Based First-Order Momentum. 1324-1337 - Nunzio A. Letizia, Andrea M. Tonello:
Segmented Generative Networks: Data Generation in the Uniform Probability Space. 1338-1347 - Jun Chen, Xian-Ming Zhang, Ju H. Park, Shengyuan Xu:
Improved Stability Criteria for Delayed Neural Networks Using a Quadratic Function Negative-Definiteness Approach. 1348-1354 - Rui Zhang, Yunxing Zhang, Xuelong Li:
Unsupervised Feature Selection via Adaptive Graph Learning and Constraint. 1355-1362
Volume 33, Number 4, April 2022
- Ardi Tampuu, Tambet Matiisen, Maksym Semikin, Dmytro Fishman, Muhammad Naveed:
A Survey of End-to-End Driving: Architectures and Training Methods. 1364-1384 - Seok-Beom Roh, Sung-Kwun Oh, Witold Pedrycz, Zunwei Fu:
Dynamically Generated Hierarchical Neural Networks Designed With the Aid of Multiple Support Vector Regressors and PNN Architecture With Probabilistic Selection. 1385-1399 - Runqi Chai, Antonios Tsourdos, Al Savvaris, Senchun Chai, Yuanqing Xia, C. L. Philip Chen:
Design and Implementation of Deep Neural Network-Based Control for Automatic Parking Maneuver Process. 1400-1413 - Qi Wang, Wei Huang, Zhitong Xiong, Xuelong Li:
Looking Closer at the Scene: Multiscale Representation Learning for Remote Sensing Image Scene Classification. 1414-1428 - Man Li, Jiahu Qin, Nikolaos M. Freris, Daniel W. C. Ho:
Multiplayer Stackelberg-Nash Game for Nonlinear System via Value Iteration-Based Integral Reinforcement Learning. 1429-1440 - Shiyu Duan, Shujian Yu, José C. Príncipe:
Modularizing Deep Learning via Pairwise Learning With Kernels. 1441-1451 - Stefan T. Radev, Ulf K. Mertens, Andreas Voss, Lynton Ardizzone, Ullrich Köthe:
BayesFlow: Learning Complex Stochastic Models With Invertible Neural Networks. 1452-1466 - Gan Sun, Yang Cong, Qianqian Wang, Bineng Zhong, Yun Fu:
Representative Task Self-Selection for Flexible Clustered Lifelong Learning. 1467-1481 - Hong Wang, Man Li:
Model-Free Reinforcement Learning for Fully Cooperative Consensus Problem of Nonlinear Multiagent Systems. 1482-1491 - Yufei Cui, Wuguannan Yao, Qiao Li, Antoni B. Chan, Chun Jason Xue:
Accelerating Monte Carlo Bayesian Prediction via Approximating Predictive Uncertainty Over the Simplex. 1492-1506 - Xiang Guan, Yang Yang, Jingjing Li, Xing Xu, Heng Tao Shen:
Mind the Remainder: Taylor's Theorem View on Recurrent Neural Networks. 1507-1519 - Zhenhui Xu, Tielong Shen, Daizhan Cheng:
Model-Free Reinforcement Learning by Embedding an Auxiliary System for Optimal Control of Nonlinear Systems. 1520-1534 - Lin Xiao, Yongjun He, Jianhua Dai, Xinwang Liu, Bolin Liao, Haiyan Tan:
A Variable-Parameter Noise-Tolerant Zeroing Neural Network for Time-Variant Matrix Inversion With Guaranteed Robustness. 1535-1545 - Cyril de Bodt, Dounia Mulders, Michel Verleysen, John Aldo Lee:
Fast Multiscale Neighbor Embedding. 1546-1560 - Yuezu Lv, Jialing Zhou, Guanghui Wen, Xinghuo Yu, Tingwen Huang:
Fully Distributed Adaptive NN-Based Consensus Protocol for Nonlinear MASs: An Attack-Free Approach. 1561-1570 - Yang Liu, Tiexing Wang, Yuexin Jiang, Biao Chen:
Harvesting Ambient RF for Presence Detection Through Deep Learning. 1571-1583 - Dong Xie, Xiangnan Zhong:
Semicentralized Deep Deterministic Policy Gradient in Cooperative StarCraft Games. 1584-1593 - Fazhi Song, Yang Liu, Wen Jin, Jiubin Tan, Wei He:
Data-Driven Feedforward Learning With Force Ripple Compensation for Wafer Stages: A Variable-Gain Robust Approach. 1594-1608 - Jian Liu, Naveed Akhtar, Ajmal Mian:
Adversarial Attack on Skeleton-Based Human Action Recognition. 1609-1622 - Chuanwei Zhou, Chunyan Xu, Zhen Cui, Tong Zhang, Jian Yang:
Self-Teaching Video Object Segmentation. 1623-1637 - Chang Zhou, Lai Man Po, Weifeng Ou:
Angular Deep Supervised Vector Quantization for Image Retrieval. 1638-1649 - Di Liu, Simone Baldi, Wenwu Yu, C. L. Philip Chen:
A Hybrid Recursive Implementation of Broad Learning With Incremental Features. 1650-1662 - Yifan Qian, Paul Expert, Tom Rieu, Pietro Panzarasa, Mauricio Barahona:
Quantifying the Alignment of Graph and Features in Deep Learning. 1663-1672 - Qin Zou, Ling Cao, Zheng Zhang, Long Chen, Song Wang:
Transductive Zero-Shot Hashing for Multilabel Image Retrieval. 1673-1687 - Denis Kleyko, Edward Paxon Frady, Mansour Kheffache, Evgeny Osipov:
Integer Echo State Networks: Efficient Reservoir Computing for Digital Hardware. 1688-1701 - Feiping Nie, Xia Dong, Lai Tian, Rong Wang, Xuelong Li:
Unsupervised Feature Selection With Constrained ℓ₂, ₀-Norm and Optimized Graph. 1702-1713 - Qiang Yu, Chenxiang Ma, Shiming Song, Gaoyan Zhang, Jianwu Dang, Kay Chen Tan:
Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes. 1714-1726 - Shuangshuang Xiong, Zhongsheng Hou:
Model-Free Adaptive Control for Unknown MIMO Nonaffine Nonlinear Discrete-Time Systems With Experimental Validation. 1727-1739 - Tao He, Hua Mao, Zhang Yi:
Subtraction Gates: Another Way to Learn Long-Term Dependencies in Recurrent Neural Networks. 1740-1751 - Jie Jiang, Jing Liu, Jun Fu, Xinxin Zhu, Zechao Li, Hanqing Lu:
Global-Guided Selective Context Network for Scene Parsing. 1752-1764 - Narendra Kumar Dhar, Anuj Nandanwar, Nishchal K. Verma, Laxmidhar Behera:
Online Nash Solution in Networked Multirobot Formation Using Stochastic Near-Optimal Control Under Dynamic Events. 1765-1778 - Jiadong Chen, Yincheng Wu, Yin Yang, Shiping Wen, Kaibo Shi, Amine Bermak, Tingwen Huang:
An Efficient Memristor-Based Circuit Implementation of Squeeze-and-Excitation Fully Convolutional Neural Networks. 1779-1790 - Yang Yang, Qidong Liu, Dong Yue, Qing-Long Han:
Predictor-Based Neural Dynamic Surface Control for Bipartite Tracking of a Class of Nonlinear Multiagent Systems. 1791-1802 - Meiqi Wang, Liulu He, Jun Lin, Zhongfeng Wang:
Rethinking Adaptive Computing: Building a Unified Model Complexity-Reduction Framework With Adversarial Robustness. 1803-1810 - Yoon-Jae Yeo, Yong-Goo Shin, Seung Park, Sung-Jea Ko:
Simple Yet Effective Way for Improving the Performance of GAN. 1811-1818
Volume 33, Number 5, May 2022
- Yongduan Song, Jennie Si, Sonya Coleman, Dermot Kerr:
Editorial Biologically Learned/Inspired Methods for Sensing, Control, and Decision. 1820-1824 - Hui Gao, Le Yin:
Bio-Motivated Two-Level Event-Triggered Controller for Nonlinear Systems. 1825-1832 - Jettanan Homchanthanakul, Poramate Manoonpong:
Continuous Online Adaptation of Bioinspired Adaptive Neuroendocrine Control for Autonomous Walking Robots. 1833-1845 - Qinglai Wei, Liyuan Han, Tielin Zhang:
Spiking Adaptive Dynamic Programming Based on Poisson Process for Discrete-Time Nonlinear Systems. 1846-1856 - Cheng Qian, Mingsi Tong, Xinghu Yu, Songlin Zhuang, Huijun Gao:
Octopus-Inspired Microgripper for Deformation-Controlled Biological Sample Manipulation. 1857-1866 - Tong Liu, Sheng Chen, Shan Liang, Shaojun Gan, Chris J. Harris:
Multi-Output Selective Ensemble Identification of Nonlinear and Nonstationary Industrial Processes. 1867-1880 - Qing Chen, Kai Zhao, Xiumin Li, Yujuan Wang:
Asymptotic Tracking Control for Uncertain MIMO Systems: A Biologically Inspired ESN Approach. 1881-1890 - Ziquan Yu, Youmin Zhang, Bin Jiang, Chun-Yi Su, Jun Fu, Ying Jin, Tianyou Chai:
Distributed Adaptive Fault-Tolerant Time-Varying Formation Control of Unmanned Airships With Limited Communication Ranges Against Input Saturation for Smart City Observation. 1891-1904 - Qingtao Zhao, Jian Sun, Gang Wang, Jie Chen:
Event-Triggered ADP for Nonzero-Sum Games of Unknown Nonlinear Systems. 1905-1913 - Man Li, Jiahu Qin, Yaonan Wang, Yu Kang:
Bio-Inspired Dynamic Collective Choice in Large-Population Systems: A Robust Mean-Field Game Perspective. 1914-1924 - Liyuan Wang, Bo Lei, Qian Li, Hang Su, Jun Zhu, Yi Zhong:
Triple-Memory Networks: A Brain-Inspired Method for Continual Learning. 1925-1934 - Qi Xu, Jiangrong Shen, Xuming Ran, Huajin Tang, Gang Pan, Jian K. Liu:
Robust Transcoding Sensory Information With Neural Spikes. 1935-1946 - Malu Zhang, Jiadong Wang, Jibin Wu, Ammar Belatreche, Burin Amornpaisannon, Zhixuan Zhang, Venkata Pavan Kumar Miriyala, Hong Qu, Yansong Chua, Trevor E. Carlson, Haizhou Li:
Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks. 1947-1958 - Daniel Gutierrez-Galan, Thorben Schoepe, Juan Pedro Dominguez-Morales, Angel Jiménez-Fernandez, Elisabetta Chicca, Alejandro Linares-Barranco:
An Event-Based Digital Time Difference Encoder Model Implementation for Neuromorphic Systems. 1959-1973 - Zhou Wu, Qian Li, Haijun Zhang:
Chain-Structure Echo State Network With Stochastic Optimization: Methodology and Application. 1974-1985 - Anguo Zhang, Xiumin Li, Yueming Gao, Yuzhen Niu:
Event-Driven Intrinsic Plasticity for Spiking Convolutional Neural Networks. 1986-1995 - Aida Todri-Sanial, Stefania Carapezzi, Corentin Delacour, Madeleine Abernot, Thierry Gil, Elisabetta Corti, Siegfried F. Karg, Juan Núñez, Manuel Jiménez Través, Maria J. Avedillo, Bernabé Linares-Barranco:
How Frequency Injection Locking Can Train Oscillatory Neural Networks to Compute in Phase. 1996-2009 - Baosheng Zhang, Yuchen Guo, Yipeng Li, Yuwei He, Haoqian Wang, Qionghai Dai:
Memory Recall: A Simple Neural Network Training Framework Against Catastrophic Forgetting. 2010-2022 - Qiyu Sun, Yang Tang, Chongzhen Zhang, Chaoqiang Zhao, Feng Qian, Jürgen Kurths:
Unsupervised Estimation of Monocular Depth and VO in Dynamic Environments via Hybrid Masks. 2023-2033 - Hyeryung Jang, Osvaldo Simeone:
Multisample Online Learning for Probabilistic Spiking Neural Networks. 2034-2044 - Pawel Ladosz, Eseoghene Ben-Iwhiwhu, Jeffery Dick, Nicholas Ketz, Soheil Kolouri, Jeffrey L. Krichmar, Praveen K. Pilly, Andrea Soltoggio:
Deep Reinforcement Learning With Modulated Hebbian Plus Q-Network Architecture. 2045-2056 - Fanghong Guo, Bowen Xu, Wen-an Zhang, Changyun Wen, Dan Zhang, Li Yu:
Training Deep Neural Network for Optimal Power Allocation in Islanded Microgrid Systems: A Distributed Learning-Based Approach. 2057-2069 - Feng Duan, Yikang Yang:
Recognizing Missing Electromyography Signal by Data Split Reorganization Strategy and Weight-Based Multiple Neural Network Voting Method. 2070-2079 - Xianpeng Wang, Tenghui Hu, Lixin Tang:
A Multiobjective Evolutionary Nonlinear Ensemble Learning With Evolutionary Feature Selection for Silicon Prediction in Blast Furnace. 2080-2093 - Dengpeng Xing, Jiale Li, Tielin Zhang, Bo Xu:
A Brain-Inspired Approach for Collision-Free Movement Planning in the Small Operational Space. 2094-2105 - Qinghui Hong, Hegan Chen, Jingru Sun, Chunhua Wang:
Memristive Circuit Implementation of a Self-Repairing Network Based on Biological Astrocytes in Robot Application. 2106-2120 - Huanhuan Ran, Shiping Wen, Qian Li, Yin Yang, Kaibo Shi, Yuming Feng, Pan Zhou, Tingwen Huang:
Memristor-Based Edge Computing of Blaze Block for Image Recognition. 2121-2131 - Nasibeh Rady Raz, Mohammad-R. Akbarzadeh-T.:
Target Convergence Analysis of Cancer-Inspired Swarms for Early Disease Diagnosis and Targeted Collective Therapy. 2132-2146 - Zhenshan Bing, Amir E. I. Sewisy, Genghang Zhuang, Florian Walter, Fabrice O. Morin, Kai Huang, Alois C. Knoll:
Toward Cognitive Navigation: Design and Implementation of a Biologically Inspired Head Direction Cell Network. 2147-2158 - Kang Wang, Di-Hua Zhai, Yuhan Xiong, Leyun Hu, Yuanqing Xia:
An MVMD-CCA Recognition Algorithm in SSVEP-Based BCI and Its Application in Robot Control. 2159-2167 - Linli Zhang, Dewei Li, Shuai Jia, Haibin Shao:
Brain-Inspired Experience Reinforcement Model for Bin Packing in Varying Environments. 2168-2180 - Jun Wan, Zhihui Lai, Jing Li, Jie Zhou, Can Gao:
Robust Facial Landmark Detection by Multiorder Multiconstraint Deep Networks. 2181-2194 - Filippo Maria Bianchi, Daniele Grattarola, Lorenzo Livi, Cesare Alippi:
Hierarchical Representation Learning in Graph Neural Networks With Node Decimation Pooling. 2195-2207 - Rui Wang, Xiaojun Wu, Josef Kittler:
SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Image Set Classification. 2208-2222 - Wenjia Meng, Qian Zheng, Yue Shi, Gang Pan:
An Off-Policy Trust Region Policy Optimization Method With Monotonic Improvement Guarantee for Deep Reinforcement Learning. 2223-2235 - Longxin Li, Man-Wai Mak, Jen-Tzung Chien:
Contrastive Adversarial Domain Adaptation Networks for Speaker Recognition. 2236-2245 - Ehsan Rahiminejad, Fatemeh Azad, Adel Parvizi-Fard, Mahmood Amiri, Bernabé Linares-Barranco:
A Neuromorphic CMOS Circuit With Self-Repairing Capability. 2246-2258 - Tianyun Zhang, Shaokai Ye, Xiaoyu Feng, Xiaolong Ma, Kaiqi Zhang, Zhengang Li, Jian Tang, Sijia Liu, Xue Lin, Yongpan Liu, Makan Fardad, Yanzhi Wang:
StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs. 2259-2273 - Rui Zhang, Hongyuan Zhang, Xuelong Li, Sheng Yang:
Unsupervised Feature Selection With Extended OLSDA via Embedding Nonnegative Manifold Structure. 2274-2280
Volume 33, Number 6, June 2022
- Guansong Pang, Charu Aggarwal, Chunhua Shen, Nicu Sebe:
Editorial Deep Learning for Anomaly Detection. 2282-2286 - Trong-Nguyen Nguyen, Sébastien Roy, Jean Meunier:
SmithNet: Strictness on Motion-Texture Coherence for Anomaly Detection. 2287-2300 - Xuanzhao Wang, Zhengping Che, Bo Jiang, Ning Xiao, Ke Yang, Jian Tang, Jieping Ye, Jingyu Wang, Qi Qi:
Robust Unsupervised Video Anomaly Detection by Multipath Frame Prediction. 2301-2312 - Fabio Valerio Massoli, Fabrizio Falchi, Alperen Kantarci, Seymanur Akti, Hazim Kemal Ekenel, Giuseppe Amato:
MOCCA: Multilayer One-Class Classification for Anomaly Detection. 2313-2323 - Ziyi Yang, Teng Zhang, Iman Soltani Bozchalooi, Eric Darve:
Memory-Augmented Generative Adversarial Networks for Anomaly Detection. 2324-2334 - Kang Zhou, Jing Li, Yuting Xiao, Jianlong Yang, Jun Cheng, Wen Liu, Weixin Luo, Jiang Liu, Shenghua Gao:
Memorizing Structure-Texture Correspondence for Image Anomaly Detection. 2335-2349 - David Macêdo, Tsang Ing Ren, Cleber Zanchettin, Adriano L. I. Oliveira, Teresa Bernarda Ludermir:
Entropic Out-of-Distribution Detection: Seamless Detection of Unknown Examples. 2350-2364 - Yuening Li, Zhengzhang Chen, Daochen Zha, Kaixiong Zhou, Haifeng Jin, Haifeng Chen, Xia Hu:
Automated Anomaly Detection via Curiosity-Guided Search and Self-Imitation Learning. 2365-2377 - Yixin Liu, Zhao Li, Shirui Pan, Chen Gong, Chuan Zhou, George Karypis:
Anomaly Detection on Attributed Networks via Contrastive Self-Supervised Learning. 2378-2392 - Tong Zhao, Tianwen Jiang, Neil Shah, Meng Jiang:
A Synergistic Approach for Graph Anomaly Detection With Pattern Mining and Feature Learning. 2393-2405 - Kaize Ding, Kai Shu, Xuan Shan, Jundong Li, Huan Liu:
Cross-Domain Graph Anomaly Detection. 2406-2415 - Leyan Deng, Defu Lian, Zhenya Huang, Enhong Chen:
Graph Convolutional Adversarial Networks for Spatiotemporal Anomaly Detection. 2416-2428 - Da-Wei Zhou, Yang Yang, De-Chuan Zhan:
Learning to Classify With Incremental New Class. 2429-2443 - Qin Xie, Peng Zhang, Boseon Yu, Jaesik Choi:
Semisupervised Training of Deep Generative Models for High-Dimensional Anomaly Detection. 2444-2453 - Yingjie Zhou, Xucheng Song, Yanru Zhang, Fanxing Liu, Ce Zhu, Lingqiao Liu:
Feature Encoding With Autoencoders for Weakly Supervised Anomaly Detection. 2454-2465 - Jiachen Zhao, Fang Deng, Yongling Li, Jie Chen:
Attract-Repel Encoder: Learning Anomaly Representation Away From Landmarks. 2466-2479 - Daoming Li, Qinghua Tao, Jiahao Liu, Huangang Wang:
Center-Aware Adversarial Autoencoder for Anomaly Detection. 2480-2493 - Vít Skvára, Jan Francu, Matej Zorek, Tomás Pevný, Václav Smídl:
Comparison of Anomaly Detectors: Context Matters. 2494-2507 - Astha Garg, Wenyu Zhang, Jules Samaran, Ramasamy Savitha, Chuan-Sheng Foo:
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series. 2508-2517 - Ruimin Sun, Xiaoyong Yuan, Pan He, Qile Zhu, Aokun Chen, André Grégio, Daniela Oliveira, Xiaolin Li:
Learning Fast and Slow: Propedeutica for Real-Time Malware Detection. 2518-2529 - Chen Li, Hao Peng, Jianxin Li, Lichao Sun, Lingjuan Lyu, Lihong Wang, Philip S. Yu, Lifang He:
Joint Stance and Rumor Detection in Hierarchical Heterogeneous Graph. 2530-2542 - Jiaying Liu, Feng Xia, Xu Feng, Jing Ren, Huan Liu:
Deep Graph Learning for Anomalous Citation Detection. 2543-2557 - Xu Cheng, Fan Shi, Xiufeng Liu, Meng Zhao, Shengyong Chen:
A Novel Deep Class-Imbalanced Semisupervised Model for Wind Turbine Blade Icing Detection. 2558-2570 - Gouhei Tanaka, Claudio Gallicchio, Alessio Micheli, Juan-Pablo Ortega, Akira Hirose:
Guest Editorial Special Issue on New Frontiers in Extremely Efficient Reservoir Computing. 2571-2574 - Benjamin Paaßen, Alexander Schulz, Terrence C. Stewart, Barbara Hammer:
Reservoir Memory Machines as Neural Computers. 2575-2585 - Thomas Jüngling, Thomas Lymburn, Michael Small:
Consistency Hierarchy of Reservoir Computers. 2586-2595 - Manjunath Gandhi:
An Echo State Network Imparts a Curve Fitting. 2596-2604 - Bernardo Barancelli Schwedersky, Rodolfo César Costa Flesch, Samuel Bahu Rovea:
Adaptive Practical Nonlinear Model Predictive Control for Echo State Network Models. 2605-2614 - Jean Panaioti Jordanou, Eric Aislan Antonelo, Eduardo Camponogara:
Echo State Networks for Practical Nonlinear Model Predictive Control of Unknown Dynamic Systems. 2615-2629 - Azarakhsh Jalalvand, Joseph Abbate, Rory Conlin, Geert Verdoolaege, Egemen Kolemen:
Real-Time and Adaptive Reservoir Computing With Application to Profile Prediction in Fusion Plasma. 2630-2641 - Luca Pasa, Nicolò Navarin, Alessandro Sperduti:
Multiresolution Reservoir Graph Neural Network. 2642-2653 - Luca Pedrelli, Xavier Hinaut:
Hierarchical-Task Reservoir for Online Semantic Analysis From Continuous Speech. 2654-2663 - Johannes Nokkala, Rodrigo Martínez-Peña, Roberta Zambrini, Miguel C. Soriano:
High-Performance Reservoir Computing With Fluctuations in Linear Networks. 2664-2675 - Sarthak Gupta, Satrajit Chakraborty, Chetan Singh Thakur:
Neuromorphic Time-Multiplexed Reservoir Computing With On-the-Fly Weight Generation for Edge Devices. 2676-2685 - Mitsumasa Nakajima, Kenji Tanaka, Toshikazu Hashimoto:
Neural Schrödinger Equation: Physical Law as Deep Neural Network. 2686-2700 - Denis Kleyko, Edward Paxon Frady, Friedrich T. Sommer:
Cellular Automata Can Reduce Memory Requirements of Collective-State Computing. 2701-2713 - Benedikt Vettelschoss, André Röhm, Miguel C. Soriano:
Information Processing Capacity of a Single-Node Reservoir Computer: An Experimental Evaluation. 2714-2725 - Chunli Qin, Ji Zhou, Demin Yao, Han Zhuang, Hui Wang, Shiyao Chen, Yonghong Shi, Zhijian Song:
Vertebrae Labeling via End-to-End Integral Regression Localization and Multi-Label Classification Network. 2726-2736 - Guoqiang Tan, Zhanshan Wang:
Reachable Set Estimation of Delayed Markovian Jump Neural Networks Based on an Improved Reciprocally Convex Inequality. 2737-2742
Volume 33, Number 7, July 2022
- Benjamin Cramer, Yannik Stradmann, Johannes Schemmel, Friedemann Zenke:
The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks. 2744-2757 - Qingxing Cao, Bailin Li, Xiaodan Liang, Keze Wang, Liang Lin:
Knowledge-Routed Visual Question Reasoning: Challenges for Deep Representation Embedding. 2758-2767 - Dong Wang, Xiaoqian Qin, Fengyi Song, Li Cheng:
Stabilizing Training of Generative Adversarial Nets via Langevin Stein Variational Gradient Descent. 2768-2780 - Tao Bian, Zhong-Ping Jiang:
Reinforcement Learning and Adaptive Optimal Control for Continuous-Time Nonlinear Systems: A Value Iteration Approach. 2781-2790 - Yongsik Jin, Wookyong Kwon, Sangmoon Lee:
Parameterized Luenberger-Type H∞ State Estimator for Delayed Static Neural Networks. 2791-2800 - Shuangming Yang, Jiang Wang, Xinyu Hao, Huiyan Li, Xile Wei, Bin Deng, Kenneth A. Loparo:
BiCoSS: Toward Large-Scale Cognition Brain With Multigranular Neuromorphic Architecture. 2801-2815 - Wei Chen, Ruichu Cai, Kun Zhang, Zhifeng Hao:
Causal Discovery in Linear Non-Gaussian Acyclic Model With Multiple Latent Confounders. 2816-2827 - Leonardo Galli, Chih-Jen Lin:
A Study on Truncated Newton Methods for Linear Classification. 2828-2841 - Zhe Liu, Yun Li, Lina Yao, Xianzhi Wang, Feiping Nie:
Agglomerative Neural Networks for Multiview Clustering. 2842-2852 - Maolin Wang, Kelvin C. M. Lee, Bob M. F. Chung, Sharatchandra Varma Bogaraju, Ho-Cheung Ng, Justin S. J. Wong, Ho Cheung Shum, Kevin K. Tsia, Hayden Kwok-Hay So:
Low-Latency In Situ Image Analytics With FPGA-Based Quantized Convolutional Neural Network. 2853-2866 - Xiumei Han, Xudong Zhao, Hamid Reza Karimi, Ding Wang, Guangdeng Zong:
Adaptive Optimal Control for Unknown Constrained Nonlinear Systems With a Novel Quasi-Model Network. 2867-2878 - Grzegorz Dudek, Pawel Pelka, Slawek Smyl:
A Hybrid Residual Dilated LSTM and Exponential Smoothing Model for Midterm Electric Load Forecasting. 2879-2891 - Yan Zhang, Fang Wang:
Observer-Based Fixed-Time Neural Control for a Class of Nonlinear Systems. 2892-2902 - Guo-Sen Xie, Zheng Zhang, Guoshuai Liu, Fan Zhu, Li Liu, Ling Shao, Xuelong Li:
Generalized Zero-Shot Learning With Multiple Graph Adaptive Generative Networks. 2903-2915 - Shuyin Xia, Baiyun Chen, Guoyin Wang, Yong Zheng, Xinbo Gao, Elisabeth Giem, Zizhong Chen:
mCRF and mRD: Two Classification Methods Based on a Novel Multiclass Label Noise Filtering Learning Framework. 2916-2930 - Jingtao Hu, Weiming Wu, Bing Ji, Cong Wang:
Observer Design for Sampled-Data Systems via Deterministic Learning. 2931-2939 - K. Ruwani M. Fernando, Chris P. Tsokos:
Dynamically Weighted Balanced Loss: Class Imbalanced Learning and Confidence Calibration of Deep Neural Networks. 2940-2951 - Ruiqi Mao, Rongxin Cui, C. L. Philip Chen:
Broad Learning With Reinforcement Learning Signal Feedback: Theory and Applications. 2952-2964 - Yun Ho Choi, Sung Jin Yoo:
Neural-Network-Based Distributed Asynchronous Event-Triggered Consensus Tracking of a Class of Uncertain Nonlinear Multi-Agent Systems. 2965-2979 - Songnam Hong, Jeongmin Chae:
Active Learning With Multiple Kernels. 2980-2994 - Shaoxin Sun, Huaguang Zhang, Jian Han, Juan Zhang:
Dissipativity-Based Finite-Time Filtering for Uncertain Semi-Markovian Jump Random Systems With Multiple Time Delays and State Constraints. 2995-3009 - Ruijun Ma, Bob Zhang, Yicong Zhou, Zhengming Li, Fangyuan Lei:
PID Controller-Guided Attention Neural Network Learning for Fast and Effective Real Photographs Denoising. 3010-3023 - Nguyen Ngoc Thuy, Sartra Wongthanavasu:
A Novel Feature Selection Method for High-Dimensional Mixed Decision Tables. 3024-3037 - Ji-Seon Bang, Min-Ho Lee, Siamac Fazli, Cuntai Guan, Seong-Whan Lee:
Spatio-Spectral Feature Representation for Motor Imagery Classification Using Convolutional Neural Networks. 3038-3049 - Zhijun Mai, Guosheng Hu, Dexiong Chen, Fumin Shen, Heng Tao Shen:
MetaMixUp: Learning Adaptive Interpolation Policy of MixUp With Metalearning. 3050-3064 - Wei Zhou, Hai-Tao Zhang, Jun Wang:
An Efficient Sparse Bayesian Learning Algorithm Based on Gaussian-Scale Mixtures. 3065-3078 - Patrick Cheridito, Arnulf Jentzen, Florian Rossmannek:
Efficient Approximation of High-Dimensional Functions With Neural Networks. 3079-3093 - Martin Hofmann, Patrick Mäder:
Synaptic Scaling - An Artificial Neural Network Regularization Inspired by Nature. 3094-3108 - Shiping Wen, Xiaoze Ni, Huamin Wang, Song Zhu, Kaibo Shi, Tingwen Huang:
Observer-Based Adaptive Synchronization of Multiagent Systems With Unknown Parameters Under Attacks. 3109-3119 - Shun-Zheng Yu:
Explicit Duration Recurrent Networks. 3120-3130 - Yongming Li, Yanjun Liu, Shaocheng Tong:
Observer-Based Neuro-Adaptive Optimized Control of Strict-Feedback Nonlinear Systems With State Constraints. 3131-3145 - Parinthorn Manomaisaowapak, Anawat Nartkulpat, Jitkomut Songsiri:
Granger Causality Inference in EEG Source Connectivity Analysis: A State-Space Approach. 3146-3156 - Jipeng Guo, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
Rank Consistency Induced Multiview Subspace Clustering via Low-Rank Matrix Factorization. 3157-3170 - Yingchun Wang, Xiaojie Qiu, Huaguang Zhang, Xiangpeng Xie:
Data-Driven-Based Event-Triggered Control for Nonlinear CPSs Against Jamming Attacks. 3171-3177 - Simone Coppolino, Giuseppe Giacopelli, Michele Migliore:
Sequence Learning in a Single Trial: A Spiking Neurons Model Based on Hippocampal Circuitry. 3178-3183 - Wenhao Lu, Chi-Sing Leung, John Sum, Yi Xiao:
DNN-kWTA With Bounded Random Offset Voltage Drifts in Threshold Logic Units. 3184-3192
Volume 33, Number 8, August 2022
- Licheng Jiao, Ruohan Zhang, Fang Liu, Shuyuan Yang, Biao Hou, Lingling Li, Xu Tang:
New Generation Deep Learning for Video Object Detection: A Survey. 3195-3215 - Zhipei Hu, Hongru Ren, Peng Shi:
Synchronization of Complex Dynamical Networks Subject to Noisy Sampling Interval and Packet Loss. 3216-3226 - Xiao-Zhen Liu, Kai-Ning Wu, Xiaohua Ding, Weihai Zhang:
Boundary Stabilization of Stochastic Delayed Cohen-Grossberg Neural Networks With Diffusion Terms. 3227-3237 - Qi Wang, Tao Han, Junyu Gao, Yuan Yuan:
Neuron Linear Transformation: Modeling the Domain Shift for Crowd Counting. 3238-3250 - João F. L. de Oliveira, Eraylson G. Silva, Paulo S. G. de Mattos Neto:
A Hybrid System Based on Dynamic Selection for Time Series Forecasting. 3251-3263 - Guojun Wang, Weijun Li, Liping Zhang, Linjun Sun, Peng Chen, Lina Yu, Xin Ning:
Encoder-X: Solving Unknown Coefficients Automatically in Polynomial Fitting by Using an Autoencoder. 3264-3276 - Akshay Agarwal, Gaurav Goswami, Mayank Vatsa, Richa Singh, Nalini K. Ratha:
DAMAD: Database, Attack, and Model Agnostic Adversarial Perturbation Detector. 3277-3289 - Yaohua Liu, Gang Wu, Zhi Tian, Qing Ling:
DQC-ADMM: Decentralized Dynamic ADMM With Quantized and Censored Communications. 3290-3304 - Hailin Wang, Feng Zhang, Jianjun Wang, Tingwen Huang, Jianwen Huang, Xinling Liu:
Generalized Nonconvex Approach for Low-Tubal-Rank Tensor Recovery. 3305-3319 - Lituan Wang, Lei Zhang, Xiaofeng Qi, Zhang Yi:
Deep Attention-Based Imbalanced Image Classification. 3320-3330 - Weiwei Sun, You Wu, Xinyu Lv:
Adaptive Neural Network Control for Full-State Constrained Robotic Manipulator With Actuator Saturation and Time-Varying Delays. 3331-3342 - Hyun-Soo Choi, Dahuin Jung, Siwon Kim, Sungroh Yoon:
Imbalanced Data Classification via Cooperative Interaction Between Classifier and Generator. 3343-3356 - Zhongwei Huang, Haijun Lei, Guoliang Chen, Alejandro F. Frangi, Yanwu Xu, Ahmed Elazab, Jing Qin, Baiying Lei:
Parkinson's Disease Classification and Clinical Score Regression via United Embedding and Sparse Learning From Longitudinal Data. 3357-3371 - Dou Quan, Shuang Wang, Ning Huyan, Jocelyn Chanussot, Ruojing Wang, Xuefeng Liang, Biao Hou, Licheng Jiao:
Element-Wise Feature Relation Learning Network for Cross-Spectral Image Patch Matching. 3372-3386 - Qiang Yu, Shiming Song, Chenxiang Ma, Jianguo Wei, Shengyong Chen, Kay Chen Tan:
Temporal Encoding and Multispike Learning Framework for Efficient Recognition of Visual Patterns. 3387-3399 - Lida Li, Jiangtao Xie, Peihua Li, Lei Zhang:
Detachable Second-Order Pooling: Toward High-Performance First-Order Networks. 3400-3414 - Vasilios N. Katsikis, Spyridon D. Mourtas, Predrag S. Stanimirovic, Yunong Zhang:
Solving Complex-Valued Time-Varying Linear Matrix Equations via QR Decomposition With Applications to Robotic Motion Tracking and on Angle-of-Arrival Localization. 3415-3424 - Risheng Liu, Long Ma, Yuxi Zhang, Xin Fan, Zhongxuan Luo:
Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation. 3425-3436 - Ningning Han, Hrushikesh N. Mhaskar, Charles K. Chui:
Theory-Inspired Deep Network for Instantaneous-Frequency Extraction and Subsignals Recovery From Discrete Blind-Source Data. 3437-3447 - Liyang Liu, Bochao Wang, Zhanghui Kuang, Jing-Hao Xue, Yimin Chen, Wenming Yang, Qingmin Liao, Wayne Zhang:
GenDet: Meta Learning to Generate Detectors From Few Shots. 3448-3460 - Haoran Tan, Yaonan Wang, Min Wu, Zhiwu Huang, Zhiqiang Miao:
Distributed Group Coordination of Multiagent Systems in Cloud Computing Systems Using a Model-Free Adaptive Predictive Control Strategy. 3461-3473 - Xiaozheng Jin, Shaoyu Lü, Jiguo Yu:
Adaptive NN-Based Consensus for a Class of Nonlinear Multiagent Systems With Actuator Faults and Faulty Networks. 3474-3486 - Ronghu Chi, Yu Hui, Biao Huang, Zhongsheng Hou, Xuhui Bu:
Data-Driven Adaptive Consensus Learning From Network Topologies. 3487-3497 - James Oldfield, Yannis Panagakis, Mihalis A. Nicolaou:
Adversarial Learning of Disentangled and Generalizable Representations of Visual Attributes. 3498-3509 - Juan Ni, Zhenhua Huang, Chang Yu, Dongdong Lv, Cheng Wang:
Comparative Convolutional Dynamic Multi-Attention Recommendation Model. 3510-3521 - Didier A. Vega-Oliveros, Liang Zhao, Anderson Rocha, Lilian Berton:
Link Prediction Based on Stochastic Information Diffusion. 3522-3532 - Yibang Ruan, Yanshan Xiao, Zhifeng Hao, Bo Liu:
A Convex Model for Support Vector Distance Metric Learning. 3533-3546 - Teng Wan, Shaoyi Du, Wenting Cui, Runzhao Yao, Yuyan Ge, Ce Li, Yue Gao, Nanning Zheng:
RGB-D Point Cloud Registration Based on Salient Object Detection. 3547-3559 - Jun Lu, Jinliang Ding, Changxin Liu, Tianyou Chai:
Hierarchical-Bayesian-Based Sparse Stochastic Configuration Networks for Construction of Prediction Intervals. 3560-3571 - Jongmin Yu, Younkwan Lee, Kin Choong Yow, Moongu Jeon, Witold Pedrycz:
Abnormal Event Detection and Localization via Adversarial Event Prediction. 3572-3586 - Yu Zhang, Tao Zhou, Wei Wu, Hua Xie, Hongru Zhu, Guoxu Zhou, Andrzej Cichocki:
Improving EEG Decoding via Clustering-Based Multitask Feature Learning. 3587-3597 - Xingyu Chen, Chunyu Wang, Xuguang Lan, Nanning Zheng, Wenjun Zeng:
Neighborhood Geometric Structure-Preserving Variational Autoencoder for Smooth and Bounded Data Sources. 3598-3611 - Hao Fei, Yue Zhang, Yafeng Ren, Donghong Ji:
Optimizing Attention for Sequence Modeling via Reinforcement Learning. 3612-3621 - Sanbo Ding, Zhanshan Wang, Xiangpeng Xie:
Periodic Event-Triggered Synchronization for Discrete-Time Complex Dynamical Networks. 3622-3633 - Jingyu Wang, Lin Wang, Feiping Nie, Xuelong Li:
Fast Unsupervised Projection for Large-Scale Data. 3634-3644 - Zhe Chen, Xiao-Jun Wu, Josef Kittler:
Relaxed Block-Diagonal Dictionary Pair Learning With Locality Constraint for Image Recognition. 3645-3659 - Ju Jia, Meng Luo, Jinshuo Liu, Weixiang Ren, Lina Wang:
Multiperspective Progressive Structure Adaptation for JPEG Steganography Detection Across Domains. 3660-3674 - Qinghua Zhang, Yunlong Cheng, Fan Zhao, Guoyin Wang, Shuyin Xia:
Optimal Scale Combination Selection Integrating Three-Way Decision With Hasse Diagram. 3675-3689 - Wentao Zhang, Zhiqiang Zuo, Yijing Wang:
Networked Multiagent Systems: Antagonistic Interaction, Constraint, and its Application. 3690-3699 - Min Wang, Haotian Shi, Cong Wang, Jun Fu:
Dynamic Learning From Adaptive Neural Control for Discrete-Time Strict-Feedback Systems. 3700-3712 - Weiwei Shi, Yihong Gong, Badong Chen, Xinhong Hei:
Transductive Semisupervised Deep Hashing. 3713-3726 - Bin Wang, Bing Xue, Mengjie Zhang:
Surrogate-Assisted Particle Swarm Optimization for Evolving Variable-Length Transferable Blocks for Image Classification. 3727-3740 - Yu Wang, Chong Tang, Shuo Wang, Long Cheng, Rui Wang, Min Tan, Zengguang Hou:
Target Tracking Control of a Biomimetic Underwater Vehicle Through Deep Reinforcement Learning. 3741-3752 - Xavier Alameda-Pineda, Vincent Drouard, Radu Patrice Horaud:
Variational Inference and Learning of Piecewise Linear Dynamical Systems. 3753-3764 - Junyang Chen, Zhiguo Gong, Wei Wang, Weiwen Liu, Xiao Dong:
CRL: Collaborative Representation Learning by Coordinating Topic Modeling and Network Embeddings. 3765-3777 - Shixian Wen, Amanda Rios, Yunhao Ge, Laurent Itti:
Beneficial Perturbation Network for Designing General Adaptive Artificial Intelligence Systems. 3778-3791 - Jee Seok Yoon, Myung-Cheol Roh, Heung-Il Suk:
A Plug-in Method for Representation Factorization in Connectionist Models. 3792-3803 - Yuanxin Li, Zhongsheng Hou, Wei-Wei Che, Zheng-Guang Wu:
Event-Based Design of Finite-Time Adaptive Control of Uncertain Nonlinear Systems. 3804-3813 - Qingxin Meng, Xuzhi Lai, Ze Yan, Chun-Yi Su, Min Wu:
Motion Planning and Adaptive Neural Tracking Control of an Uncertain Two-Link Rigid-Flexible Manipulator With Vibration Amplitude Constraint. 3814-3828 - Guoliang Chen, Jianwei Xia, Ju H. Park, Hao Shen, Guangming Zhuang:
Sampled-Data Synchronization of Stochastic Markovian Jump Neural Networks With Time-Varying Delay. 3829-3841 - Wenwen Min, Xiang Wan, Tsung-Hui Chang, Shihua Zhang:
A Novel Sparse Graph-Regularized Singular Value Decomposition Model and Its Application to Genomic Data Analysis. 3842-3856 - Cuie Yang, Yiu-Ming Cheung, Jinliang Ding, Kay Chen Tan:
Concept Drift-Tolerant Transfer Learning in Dynamic Environments. 3857-3871 - Xindi Yang, Hao Zhang, Zhuping Wang:
Data-Based Optimal Consensus Control for Multiagent Systems With Policy Gradient Reinforcement Learning. 3872-3883 - Yingjie Yin, De Xu, Xingang Wang, Lei Zhang:
Directional Deep Embedding and Appearance Learning for Fast Video Object Segmentation. 3884-3894 - Aparajita Khan, Pradipta Maji:
Multi-Manifold Optimization for Multi-View Subspace Clustering. 3895-3907 - Songfu Cai, Vincent K. N. Lau:
Remote State Estimation of Nonlinear Systems Over Fading Channels via Recurrent Neural Networks. 3908-3922 - Xin Hu, Zhijun Liu, Xiaofei Yu, Yulong Zhao, Wenhua Chen, Biao Hu, Xuekun Du, Xiang Li, Mohamed Helaoui, Weidong Wang, Fadhel M. Ghannouchi:
Convolutional Neural Network for Behavioral Modeling and Predistortion of Wideband Power Amplifiers. 3923-3937 - Tianhu Yu, Jinde Cao, Leszek Rutkowski, Yi-Ping Luo:
Finite-Time Synchronization of Complex-Valued Memristive-Based Neural Networks via Hybrid Control. 3938-3947 - Jun Wang, Zhi-Hua Zhou:
Margin Distribution Analysis. 3948-3960 - Zhifei Li, Hai Liu, Zhaoli Zhang, Tingting Liu, Neal N. Xiong:
Learning Knowledge Graph Embedding With Heterogeneous Relation Attention Networks. 3961-3973 - Shuanglong Liu, Hongxiang Fan, Martin Ferianc, Xinyu Niu, Huifeng Shi, Wayne Luk:
Toward Full-Stack Acceleration of Deep Convolutional Neural Networks on FPGAs. 3974-3987 - Wenzhe Guo, Hasan Erdem Yantir, Mohammed E. Fouda, Ahmed M. Eltawil, Khaled Nabil Salama:
Toward the Optimal Design and FPGA Implementation of Spiking Neural Networks. 3988-4002 - Zhi Wang, Chunlin Chen, Daoyi Dong:
Lifelong Incremental Reinforcement Learning With Online Bayesian Inference. 4003-4016 - Luming Zhang, Xiaoqin Zhang, Mingliang Xu, Ling Shao:
Massive-Scale Aerial Photo Categorization by Cross-Resolution Visual Perception Enhancement. 4017-4030 - Carlos Perales-González, Francisco Fernández-Navarro, Mariano Carbonero-Ruz, Javier Pérez-Rodríguez:
Global Negative Correlation Learning: A Unified Framework for Global Optimization of Ensemble Models. 4031-4042 - Zhinan Peng, Rui Luo, Jiangping Hu, Kaibo Shi, Sing Kiong Nguang, Bijoy Kumar Ghosh:
Optimal Tracking Control of Nonlinear Multiagent Systems Using Internal Reinforce Q-Learning. 4043-4055 - Chunfeng Lian, Mingxia Liu, Li Wang, Dinggang Shen:
Multi-Task Weakly-Supervised Attention Network for Dementia Status Estimation With Structural MRI. 4056-4068 - Wenjin Huang, Huangtao Wu, Qingkun Chen, Conghui Luo, Shihao Zeng, Tianrui Li, Yihua Huang:
FPGA-Based High-Throughput CNN Hardware Accelerator With High Computing Resource Utilization Ratio. 4069-4083 - Haiping Zhu, Hongming Shan, Yuheng Zhang, Lingfu Che, Xiaoyang Xu, Junping Zhang, Jianbo Shi, Fei-Yue Wang:
Convolutional Ordinal Regression Forest for Image Ordinal Estimation. 4084-4095 - Junhong Zhao, Jie Yang, Jun Wang, Wei Wu:
Spiking Neural Network Regularization With Fixed and Adaptive Drop-Keep Probabilities. 4096-4109 - Guan'an Wang, Qinghao Hu, Yang Yang, Jian Cheng, Zeng-Guang Hou:
Adversarial Binary Mutual Learning for Semi-Supervised Deep Hashing. 4110-4124 - Mahdi Imani, Seyede Fatemeh Ghoreishi:
Scalable Inverse Reinforcement Learning Through Multifidelity Bayesian Optimization. 4125-4132 - Wu Yang, Yan-Wu Wang, Irinel-Constantin Morarescu, Xiao-Kang Liu, Yuehua Huang:
Fixed-Time Synchronization of Competitive Neural Networks With Multiple Time Scales. 4133-4138 - Qingtao Zhao, Jennie Si, Jian Sun:
Online Reinforcement Learning Control by Direct Heuristic Dynamic Programming: From Time-Driven to Event-Driven. 4139-4144
Volume 33, Number 9, September 2022
- Sini Guo, Pengyu Liu, Wai-Ki Ching, Tatsuya Akutsu:
On the Distribution of Successor States in Boolean Threshold Networks. 4147-4159 - Fuad E. Alsaadi, Zidong Wang, Yuqiang Luo, Njud S. Alharbi, Fawaz Waselallah Alsaade:
H∞ State Estimation for BAM Neural Networks With Binary Mode Switching and Distributed Leakage Delays Under Periodic Scheduling Protocol. 4160-4172 - Xudong Luo, Xiaohao Wen, MengChu Zhou, Abdullah Abusorrah, Lukui Huang:
Decision-Tree-Initialized Dendritic Neuron Model for Fast and Accurate Data Classification. 4173-4183 - Michael Everett, Björn Lütjens, Jonathan P. How:
Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning. 4184-4198 - Jingyu Wang, Zhenyu Ma, Feiping Nie, Xuelong Li:
Fast Self-Supervised Clustering With Anchor Graph. 4199-4212 - Jiang He, Jie Li, Qiangqiang Yuan, Huanfeng Shen, Liangpei Zhang:
Spectral Response Function-Guided Deep Optimization-Driven Network for Spectral Super-Resolution. 4213-4227 - Yuanman Li, Jiantao Zhou, Jinyu Tian, Xianwei Zheng, Yuan Yan Tang:
Weighted Error Entropy-Based Information Theoretic Learning for Robust Subspace Representation. 4228-4242 - Jian Peng, Bo Tang, Hao Jiang, Zhuo Li, Yinjie Lei, Tao Lin, Haifeng Li:
Overcoming Long-Term Catastrophic Forgetting Through Adversarial Neural Pruning and Synaptic Consolidation. 4243-4256 - Yue Wu, Jiaheng Li, Yongzhe Yuan, A. Kai Qin, Qiguang Miao, Maoguo Gong:
Commonality Autoencoder: Learning Common Features for Change Detection From Heterogeneous Images. 4257-4270 - Ying Luo, Jinhu Lü, Xiaolong Jiang, Baochang Zhang:
Learning From Architectural Redundancy: Enhanced Deep Supervision in Deep Multipath Encoder-Decoder Networks. 4271-4284 - Xing Xu, Rongpeng Li, Zhifeng Zhao, Honggang Zhang:
Stigmergic Independent Reinforcement Learning for Multiagent Collaboration. 4285-4299 - Rui Zhang, Hongyuan Zhang, Xuelong Li:
Maximum Joint Probability With Multiple Representations for Clustering. 4300-4310 - Guoxian Yu, Yuying Xing, Jun Wang, Carlotta Domeniconi, Xiangliang Zhang:
Multiview Multi-Instance Multilabel Active Learning. 4311-4321 - Huifang Min, Shengyuan Xu, Shumin Fei, Xin Yu:
Observer-Based NN Control for Nonlinear Systems With Full-State Constraints and External Disturbances. 4322-4331 - Faliang Huang, Xuelong Li, Changan Yuan, Shichao Zhang, Jilian Zhang, Shaojie Qiao:
Attention-Emotion-Enhanced Convolutional LSTM for Sentiment Analysis. 4332-4345 - Xiaoyu Zhang, Richard W. Longman:
Stability of Sliding Mode ILC Design for a Class of Nonlinear Systems With Unknown Control Input Delay. 4346-4360 - Ziru Wang, Jiawen Liu, Yongqiang Ma, Badong Chen, Nanning Zheng, Pengju Ren:
Perturbation of Spike Timing Benefits Neural Network Performance on Similarity Search. 4361-4372 - Federico Pernici, Matteo Bruni, Claudio Baecchi, Alberto Del Bimbo:
Regular Polytope Networks. 4373-4387 - Qingsong Zhang, Feihu Huang, Cheng Deng, Heng Huang:
Faster Stochastic Quasi-Newton Methods. 4388-4397 - Shuangming Yang, Jiang Wang, Nan Zhang, Bin Deng, Yanwei Pang, Mostafa Rahimi Azghadi:
CerebelluMorphic: Large-Scale Neuromorphic Model and Architecture for Supervised Motor Learning. 4398-4412 - Fadi Dornaika, Abdullah Baradaaji, Youssof El Traboulsi:
Joint Label Inference and Discriminant Embedding. 4413-4423 - Hojung Lee, Cho-Jui Hsieh, Jong-Seok Lee:
Local Critic Training for Model-Parallel Learning of Deep Neural Networks. 4424-4436 - Chaoxu Mu, Ke Wang, Zhen Ni:
Adaptive Learning and Sampled-Control for Nonlinear Game Systems Using Dynamic Event-Triggering Strategy. 4437-4450 - Zhiyuan Zha, Bihan Wen, Xin Yuan, Jiantao Zhou, Ce Zhu, Alex ChiChung Kot:
A Hybrid Structural Sparsification Error Model for Image Restoration. 4451-4465 - Qicheng Lao, Xiang Jiang, Mohammad Havaei, Yoshua Bengio:
A Two-Stream Continual Learning System With Variational Domain-Agnostic Feature Replay. 4466-4478 - Xuerao Wang, Qingling Wang, Changyin Sun:
Prescribed Performance Fault-Tolerant Control for Uncertain Nonlinear MIMO System Using Actor-Critic Learning Structure. 4479-4490 - Lijun Pan, Qiang Song, Jinde Cao, Minvydas Ragulskis:
Pinning Impulsive Synchronization of Stochastic Delayed Neural Networks via Uniformly Stable Function. 4491-4501 - Cen Chen, Kenli Li, Xiaofeng Zou, Zhongyao Cheng, Wei Wei, Qi Tian, Zeng Zeng:
Hierarchical Semantic Graph Reasoning for Train Component Detection. 4502-4514 - Fanghai Zhang, Zhigang Zeng:
Multistability and Stabilization of Fractional-Order Competitive Neural Networks With Unbounded Time-Varying Delays. 4515-4526 - Cheolhyeong Kim, Seungtae Park, Hyung Ju Hwang:
Local Stability of Wasserstein GANs With Abstract Gradient Penalty. 4527-4537 - Shuhui Jiang, Jun Li, Yun Fu:
Deep Learning for Fashion Style Generation. 4538-4550 - Guangzhu Peng, C. L. Philip Chen, Chenguang Yang:
Neural Networks Enhanced Optimal Admittance Control of Robot-Environment Interaction Using Reinforcement Learning. 4551-4561 - Wei Zheng, Shuo Chen, Zhenyong Fu, Fa Zhu, Hui Yan, Jian Yang:
Feature Selection Boosted by Unselected Features. 4562-4574 - Jason J. R. Liu, Ka-Wai Kwok, Yukang Cui, Jun Shen, James Lam:
Consensus of Positive Networked Systems on Directed Graphs. 4575-4583 - Chien-Lung Chou, Chieh-Yun Chen, Chia-Wei Hsieh, Hong-Han Shuai, Jiaying Liu, Wen-Huang Cheng:
Template-Free Try-On Image Synthesis via Semantic-Guided Optimization. 4584-4597 - Pietro Verzelli, Cesare Alippi, Lorenzo Livi, Peter Tino:
Input-to-State Representation in Linear Reservoirs Dynamics. 4598-4609 - Lai Wei, Fenfen Ji, Hao Liu, Rigui Zhou, Changming Zhu, Xiafen Zhang:
Subspace Clustering via Structured Sparse Relation Representation. 4610-4623 - Jiaxu Miao, Yu Wu, Yi Yang:
Identifying Visible Parts via Pose Estimation for Occluded Person Re-Identification. 4624-4634 - Yao Zhou, Gary G. Yen, Zhang Yi:
Evolutionary Shallowing Deep Neural Networks at Block Levels. 4635-4647 - Youngmin Ro, Jongwon Choi, Byeongho Heo, Jin Young Choi:
Rollback Ensemble With Multiple Local Minima in Fine-Tuning Deep Learning Networks. 4648-4660 - Zhi Wang, Yu Liu, Xin Luo, Jianjun Wang, Chao Gao, Dezhong Peng, Wu Chen:
Large-Scale Affine Matrix Rank Minimization With a Novel Nonconvex Regularizer. 4661-4675 - Ziyu Wei, Xi Yang, Nannan Wang, Xinbo Gao:
Flexible Body Partition-Based Adversarial Learning for Visible Infrared Person Re-Identification. 4676-4687 - Yuliang Cai, Huaguang Zhang, Yingchun Wang, Zhiyun Gao, Qiang He:
Adaptive Bipartite Fixed-Time Time-Varying Output Formation-Containment Tracking of Heterogeneous Linear Multiagent Systems. 4688-4698 - Jie Zhong, Zongxi Yu, Yuanyuan Li, Jianquan Lu:
State Estimation for Probabilistic Boolean Networks via Outputs Observation. 4699-4711 - Yongyong Chen, Xiaolin Xiao, Zhongyun Hua, Yicong Zhou:
Adaptive Transition Probability Matrix Learning for Multiview Spectral Clustering. 4712-4726 - Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai, Changyun Wei, Guoliang Liu, Rossitza Setchi:
Hierarchical Reinforcement Learning With Universal Policies for Multistep Robotic Manipulation. 4727-4741 - Enming Liang, Kexin Wen, William H. K. Lam, Agachai Sumalee, Renxin Zhong:
An Integrated Reinforcement Learning and Centralized Programming Approach for Online Taxi Dispatching. 4742-4756 - Huan Wang, Zhiliang Liu, Dandan Peng, Mei Yang, Yong Qin:
Feature-Level Attention-Guided Multitask CNN for Fault Diagnosis and Working Conditions Identification of Rolling Bearing. 4757-4769 - Wei Pu:
Shuffle GAN With Autoencoder: A Deep Learning Approach to Separate Moving and Stationary Targets in SAR Imagery. 4770-4784 - Weiwen Liu, Yin Zhang, Jianling Wang, Yun He, James Caverlee, Patrick P. K. Chan, Daniel S. Yeung, Pheng-Ann Heng:
Item Relationship Graph Neural Networks for E-Commerce. 4785-4799 - Ce Li, Chunyu Xie, Baochang Zhang, Jungong Han, Xiantong Zhen, Jie Chen:
Memory Attention Networks for Skeleton-Based Action Recognition. 4800-4814 - Dan Liu, Dan Ye:
Edge-Based Decentralized Adaptive Pinning Synchronization of Complex Networks Under Link Attacks. 4815-4825 - Sanping Zhou, Jinjun Wang, Jun Shu, Deyu Meng, Le Wang, Nanning Zheng:
Multinetwork Collaborative Feature Learning for Semisupervised Person Reidentification. 4826-4839 - Rohollah Moghadam, Pappa Natarajan, Sarangapani Jagannathan:
Online Optimal Adaptive Control of Partially Uncertain Nonlinear Discrete-Time Systems Using Multilayer Neural Networks. 4840-4850 - Yong Li, Richard Gault, T. Martin McGinnity:
Probabilistic, Recurrent, Fuzzy Neural Network for Processing Noisy Time-Series Data. 4851-4860 - Shangshang Yang, Ye Tian, Cheng He, Xingyi Zhang, Kay Chen Tan, Yaochu Jin:
A Gradient-Guided Evolutionary Approach to Training Deep Neural Networks. 4861-4875 - Yiliao Song, Jie Lu, Anjin Liu, Haiyan Lu, Guangquan Zhang:
A Segment-Based Drift Adaptation Method for Data Streams. 4876-4889 - Zhong Qu, Chong Cao, Ling Liu, Dong-Yang Zhou:
A Deeply Supervised Convolutional Neural Network for Pavement Crack Detection With Multiscale Feature Fusion. 4890-4899 - Prayag Gowgi, Amrutha Machireddy, Shayan Srinivasa Garani:
Spatiotemporal Memories for Missing Samples Reconstruction. 4900-4914 - Yi Ding, Fuyuan Tan, Zhen Qin, Mingsheng Cao, Kim-Kwang Raymond Choo, Zhiguang Qin:
DeepKeyGen: A Deep Learning-Based Stream Cipher Generator for Medical Image Encryption and Decryption. 4915-4929 - Xiaolong Ma, Sheng Lin, Shaokai Ye, Zhezhi He, Linfeng Zhang, Geng Yuan, Sia Huat Tan, Zhengang Li, Deliang Fan, Xuehai Qian, Xue Lin, Kaisheng Ma, Yanzhi Wang:
Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? 4930-4944 - Wen Yu, Baiying Lei, Michael K. Ng, Albert C. Cheung, Yanyan Shen, Shuqiang Wang:
Tensorizing GAN With High-Order Pooling for Alzheimer's Disease Assessment. 4945-4959 - Hanyu Peng, Jiaxiang Wu, Zhiwei Zhang, Shifeng Chen, Hai-Tao Zhang:
Deep Network Quantization via Error Compensation. 4960-4970 - Savin Treanta:
LU-Optimality Conditions in Optimization Problems With Mechanical Work Objective Functionals. 4971-4978 - Lunke Fei, Bob Zhang, Yong Xu, Chunwei Tian, Imad Rida, David Zhang:
Jointly Heterogeneous Palmprint Discriminant Feature Learning. 4979-4990 - Huaian Chen, Yi Jin, Guoqiang Jin, Changan Zhu, Enhong Chen:
Semisupervised Semantic Segmentation by Improving Prediction Confidence. 4991-5003 - Zixiang Ding, Yaran Chen, Nannan Li, Dongbin Zhao, Zhiquan Sun, C. L. Philip Chen:
BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture. 5004-5018 - Chenglong Li, Zhiqiang Xiang, Jin Tang, Bin Luo, Futian Wang:
RGBT Tracking via Noise-Robust Cross-Modal Ranking. 5019-5031 - Xing Gao, Wenrui Dai, Chenglin Li, Hongkai Xiong, Pascal Frossard:
iPool - Information-Based Pooling in Hierarchical Graph Neural Networks. 5032-5044 - Xiaona Song, Jingtao Man, Ju H. Park, Shuai Song:
Finite-Time Synchronization of Reaction-Diffusion Inertial Memristive Neural Networks via Gain-Scheduled Pinning Control. 5045-5056 - Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Andrew Lim:
Learning Improvement Heuristics for Solving Routing Problems. 5057-5069 - Xuelong Li, Yunxing Zhang, Rui Zhang:
Semisupervised Feature Selection via Generalized Uncorrelated Constraint and Manifold Embedding. 5070-5079 - Songsong Dai:
Quantum Cryptanalysis on a Multivariate Cryptosystem Based on Clipped Hopfield Neural Network. 5080-5084 - Xuefang Li, Dong Shen, Beichen Ding:
Iterative Learning Control for Output Tracking of Nonlinear Systems With Unavailable State Information. 5085-5092
Volume 33, Number 10, October 2022
- Sparsh Mittal, Poonam Rajput, Sreenivas Subramoney:
A Survey of Deep Learning on CPUs: Opportunities and Co-Optimizations. 5095-5115 - Xinqi Li, Jun Wang, Sam Kwong:
Hash Bit Selection via Collaborative Neurodynamic Optimization With Discrete Hopfield Networks. 5116-5124 - Qi Zhang, Longbing Cao, Chongyang Shi, Zhendong Niu:
Neural Time-Aware Sequential Recommendation by Jointly Modeling Preference Dynamics and Explicit Feature Couplings. 5125-5137 - Mahdi Imani, Seyede Fatemeh Ghoreishi:
Two-Stage Bayesian Optimization for Scalable Inference in State-Space Models. 5138-5149 - Peng Xu, Chaitanya K. Joshi, Xavier Bresson:
Multigraph Transformer for Free-Hand Sketch Recognition. 5150-5161 - Alexandros Haliassos, Kriton Konstantinidis, Danilo P. Mandic:
Supervised Learning for Nonsequential Data: A Canonical Polyadic Decomposition Approach. 5162-5176 - Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Xifeng Guo, Marius Kloft, Liangzhong He:
Multiview Subspace Clustering via Co-Training Robust Data Representation. 5177-5189 - Biao Sun, Chaoxu Mu, Zexu Wu, Xinshan Zhu:
Training-Free Deep Generative Networks for Compressed Sensing of Neural Action Potentials. 5190-5199 - Hao Wu, Shaowei Qin, Rencan Nie, Jinde Cao, Sergey Gorbachev:
Effective Collaborative Representation Learning for Multilabel Text Categorization. 5200-5214 - Marcin Bialas, Jacek Mandziuk:
Spike-Timing-Dependent Plasticity With Activation-Dependent Scaling for Receptive Fields Development. 5215-5228 - Weinan Gao, Mohammed Mynuddin, Donald C. Wunsch, Zhong-Ping Jiang:
Reinforcement Learning-Based Cooperative Optimal Output Regulation via Distributed Adaptive Internal Model. 5229-5240 - Jing Zhang, Zhengrong Xiang:
Event-Triggered Adaptive Neural Network Sensor Failure Compensation for Switched Interconnected Nonlinear Systems With Unknown Control Coefficients. 5241-5252 - Wen Fei, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong:
General Bitwidth Assignment for Efficient Deep Convolutional Neural Network Quantization. 5253-5267 - Rongqiang Tang, Housheng Su, Yi Zou, Xinsong Yang:
Finite-Time Synchronization of Markovian Coupled Neural Networks With Delays via Intermittent Quantized Control: Linear Programming Approach. 5268-5278 - Hojjat Salehinejad, Shahrokh Valaee:
EDropout: Energy-Based Dropout and Pruning of Deep Neural Networks. 5279-5292 - Keqiuyin Li, Jie Lu, Hua Zuo, Guangquan Zhang:
Multi-Source Contribution Learning for Domain Adaptation. 5293-5307 - Lihua Zhou, Mao Ye, Dan Zhang, Ce Zhu, Luping Ji:
Prototype-Based Multisource Domain Adaptation. 5308-5320 - Hui Li, Yonggui Kao, Haibo Bao, Yangquan Chen:
Uniform Stability of Complex-Valued Neural Networks of Fractional Order With Linear Impulses and Fixed Time Delays. 5321-5331 - Yancheng Wang, Yang Xiao, Junyi Lu, Bo Tan, Zhiguo Cao, Zhenjun Zhang, Joey Tianyi Zhou:
Discriminative Multi-View Dynamic Image Fusion for Cross-View 3-D Action Recognition. 5332-5345 - Ping Li, Bin Sheng, C. L. Philip Chen:
Face Sketch Synthesis Using Regularized Broad Learning System. 5346-5360 - Lu Wang, Lei Han, Xinru Chen, Chengchang Li, Junzhou Huang, Weinan Zhang, Wei Zhang, Xiaofeng He, Dijun Luo:
Hierarchical Multiagent Reinforcement Learning for Allocating Guaranteed Display Ads. 5361-5373 - Long Chen, Bin Hu, Zhi-Hong Guan, Lian Zhao, Xuemin Shen:
Multiagent Meta-Reinforcement Learning for Adaptive Multipath Routing Optimization. 5374-5386 - Yuhui Quan, Peikang Lin, Yong Xu, Yuesong Nan, Hui Ji:
Nonblind Image Deblurring via Deep Learning in Complex Field. 5387-5400 - Guangrun Wang, Liang Lin, Rongcong Chen, Guangcong Wang, Jiqi Zhang:
Joint Learning of Neural Transfer and Architecture Adaptation for Image Recognition. 5401-5415 - Shuai Song, Ju H. Park, Baoyong Zhang, Xiaona Song:
Adaptive NN Finite-Time Resilient Control for Nonlinear Time-Delay Systems With Unknown False Data Injection and Actuator Faults. 5416-5428 - Pingping Pan, Yunjian Zhang, Zhenmiao Deng, Wei Qi:
Deep Learning-Based 2-D Frequency Estimation of Multiple Sinusoidals. 5429-5440 - Qi Li, Zidong Wang, Jun Hu, Weiguo Sheng:
Simultaneous State and Unknown Input Estimation for Complex Networks With Redundant Channels Under Dynamic Event-Triggered Mechanisms. 5441-5451 - Qixiang Ye, Fang Wan, Chang Liu, Qingming Huang, Xiangyang Ji:
Continuation Multiple Instance Learning for Weakly and Fully Supervised Object Detection. 5452-5466 - Maolong Lv, Wenwu Yu, Jinde Cao, Simone Baldi:
A Separation-Based Methodology to Consensus Tracking of Switched High-Order Nonlinear Multiagent Systems. 5467-5479 - Xiang Li, Wei Zhang, Hui Ma, Zhong Luo, Xu Li:
Degradation Alignment in Remaining Useful Life Prediction Using Deep Cycle-Consistent Learning. 5480-5491 - Maopeng Ran, Lihua Xie:
Adaptive Observation-Based Efficient Reinforcement Learning for Uncertain Systems. 5492-5503 - Chao Deng, Xiao-Zheng Jin, Wei-Wei Che, Hai Wang:
Learning-Based Distributed Resilient Fault-Tolerant Control Method for Heterogeneous MASs Under Unknown Leader Dynamic. 5504-5513 - Zhiwei Fang:
A High-Efficient Hybrid Physics-Informed Neural Networks Based on Convolutional Neural Network. 5514-5526 - Deyuan Meng, Jingyao Zhang:
Design and Analysis of Data-Driven Learning Control: An Optimization-Based Approach. 5527-5541 - Qintao Gan, Liangchen Li, Jing Yang, Yan Qin, Mingqiang Meng:
Improved Results on Fixed-/Preassigned-Time Synchronization for Memristive Complex-Valued Neural Networks. 5542-5556 - Jun Liu, Zengfu Hou, Wei Li, Ran Tao, Danilo Orlando, Hongbin Li:
Multipixel Anomaly Detection With Unknown Patterns for Hyperspectral Imagery. 5557-5567 - Jingyu Wang, Lin Wang, Feiping Nie, Xuelong Li:
A Novel Formulation of Trace Ratio Linear Discriminant Analysis. 5568-5578 - Zhongguo Li, Bo Liu, Zhengtao Ding:
Consensus-Based Cooperative Algorithms for Training Over Distributed Data Sets Using Stochastic Gradients. 5579-5589 - Samr Ali, Nizar Bouguila:
Maximum A Posteriori Approximation of Hidden Markov Models for Proportional Sequential Data Modeling With Simultaneous Feature Selection. 5590-5601 - Zejian Zhou, Hao Xu:
Large-Scale Multiagent System Tracking Control Using Mean Field Games. 5602-5610 - Decheng Liu, Xinbo Gao, Chunlei Peng, Nannan Wang, Jie Li:
Heterogeneous Face Interpretable Disentangled Representation for Joint Face Recognition and Synthesis. 5611-5625 - Zhi Chen, Jiang Duan, Li Kang, Guoping Qiu:
Class-Imbalanced Deep Learning via a Class-Balanced Ensemble. 5626-5640 - Fuxiang Huang, Lei Zhang, Xinbo Gao:
Domain Adaptation Preconceived Hashing for Unconstrained Visual Retrieval. 5641-5655 - Jianying Xiao, Shouming Zhong, Shiping Wen:
Unified Analysis on the Global Dissipativity and Stability of Fractional-Order Multidimension-Valued Memristive Neural Networks With Time Delay. 5656-5665 - Long Ma, Risheng Liu, Jiaao Zhang, Xin Fan, Zhongxuan Luo:
Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement. 5666-5680 - Qiang Ji, Yanfeng Sun, Junbin Gao, Yongli Hu, Baocai Yin:
A Decoder-Free Variational Deep Embedding for Unsupervised Clustering. 5681-5693 - Hongtian Chen, Zheng Chai, Oguzhan Dogru, Bin Jiang, Biao Huang:
Data-Driven Designs of Fault Detection Systems via Neural Network-Aided Learning. 5694-5705 - Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou:
Prediction With Unpredictable Feature Evolution. 5706-5715 - Yang-Yang Chen, Rong Huang, Yanteng Ge, Ya Zhang:
Spherical Formation Tracking Control of Nonlinear Second-Order Agents With Adaptive Neural Flow Estimate. 5716-5727 - Vidyadhar Upadhya, P. S. Sastry:
Learning Gaussian-Bernoulli RBMs Using Difference of Convex Functions Optimization. 5728-5738 - Yang Lou, Yaodong He, Lin Wang, Kim Fung Tsang, Guanrong Chen:
Knowledge-Based Prediction of Network Controllability Robustness. 5739-5750 - Kejie Xu, Hong Huang, Peifang Deng, Yuan Li:
Deep Feature Aggregation Framework Driven by Graph Convolutional Network for Scene Classification in Remote Sensing. 5751-5765 - Jingwei Zhang, Tongliang Liu, Dacheng Tao:
On the Rates of Convergence From Surrogate Risk Minimizers to the Bayes Optimal Classifier. 5766-5774 - Di Wu, Mingsheng Shang, Xin Luo, Zidong Wang:
An L1-and-L2-Norm-Oriented Latent Factor Model for Recommender Systems. 5775-5788 - Fei Ye, Adrian G. Bors:
Deep Mixture Generative Autoencoders. 5789-5803 - Hao Zhang, Zhigang Zeng:
Stability and Synchronization of Nonautonomous Reaction-Diffusion Neural Networks With General Time-Varying Delays. 5804-5817 - Tao Liang, Wenya Wang, Fengmao Lv:
Weakly Supervised Domain Adaptation for Aspect Extraction via Multilevel Interaction Transfer. 5818-5829 - Xiong Yang, Yuanheng Zhu, Na Dong, Qinglai Wei:
Decentralized Event-Driven Constrained Control Using Adaptive Critic Designs. 5830-5844 - Jie Li, Yu Wang, Yanyang Zi, Zhijie Zhang:
Whitening-Net: A Generalized Network to Diagnose the Faults Among Different Machines and Conditions. 5845-5858 - Mingyu Fan, Xiaoqin Zhang, Jie Hu, Nannan Gu, Dacheng Tao:
Adaptive Data Structure Regularized Multiclass Discriminative Feature Selection. 5859-5872 - Xiang Gao, Jennie Si, Yue Wen, Minhan Li, He Huang:
Reinforcement Learning Control of Robotic Knee With Human-in-the-Loop by Flexible Policy Iteration. 5873-5887 - Ziqiu Chi, Zhe Wang, Wenli Du:
Explicit Metric-Based Multiconcept Multi-Instance Learning With Triplet and Superbag. 5888-5897 - Jing Chai, Ivor W. Tsang:
Learning With Label Proportions by Incorporating Unmarked Data. 5898-5912 - Mahdi Imani, Seyede Fatemeh Ghoreishi:
Graph-Based Bayesian Optimization for Large-Scale Objective-Based Experimental Design. 5913-5925 - Marta Zaniolo, Matteo Giuliani, Andrea Castelletti:
Neuro-Evolutionary Direct Policy Search for Multiobjective Optimal Control. 5926-5938 - Iulia-Maria Comsa, Krzysztof Potempa, Luca Versari, Thomas Fischbacher, Andrea Gesmundo, Jyrki Alakuijala:
Temporal Coding in Spiking Neural Networks With Alpha Synaptic Function: Learning With Backpropagation. 5939-5952 - Licheng Liu, Qiying Feng, C. L. Philip Chen, Yaonan Wang:
Noise Robust Face Hallucination Based on Smooth Correntropy Representation. 5953-5965 - Hanbin Zhao, Hui Wang, Yongjian Fu, Fei Wu, Xi Li:
Memory-Efficient Class-Incremental Learning for Image Classification. 5966-5977 - Chia-Chi Tsai, Jiun-In Guo:
IVS-Caffe - Hardware-Oriented Neural Network Model Development. 5978-5992 - Jinduo Liu, Junzhong Ji, Guangxu Xun, Aidong Zhang:
Inferring Effective Connectivity Networks From fMRI Time Series With a Temporal Entropy-Score. 5993-6006 - Bangxin Jiang, Jungang Lou, Jianquan Lu, Kaibo Shi:
Synchronization of Chaotic Neural Networks: Average-Delay Impulsive Control. 6007-6012 - Huiping Zhuang, Yi Wang, Qinglai Liu, Zhiping Lin:
Fully Decoupled Neural Network Learning Using Delayed Gradients. 6013-6020 - Tianlin Huang, Rujie Zhao, Lvqing Bi, Defu Zhang, Chao Lu:
Neural Embedding Singular Value Decomposition for Collaborative Filtering. 6021-6029 - Xinglan Liu, Bin Xu, Yingxin Shou, Quan-Yong Fan, Yingxue Chen:
Event-Triggered Adaptive Control of Uncertain Nonlinear Systems With Composite Condition. 6030-6037 - Shouyou Huang, Yunlong Feng, Qiang Wu:
Fast Rates of Gaussian Empirical Gain Maximization With Heavy-Tailed Noise. 6038-6043
Volume 33, Number 11, November 2022
- Abdelmalek Bouguettaya, Hafed Zarzour, Ahmed Kechida, Amine Mohammed Taberkit:
Vehicle Detection From UAV Imagery With Deep Learning: A Review. 6047-6067 - Kh Shahriya Zaman, Mamun Bin Ibne Reaz, Sawal Hamid Md. Ali, Ahmad Ashrif A. Bakar, Muhammad Enamul Hoque Chowdhury:
Custom Hardware Architectures for Deep Learning on Portable Devices: A Review. 6068-6088 - Zhanyu Ma, Yuping Lai, Jiyang Xie, Deyu Meng, W. Bastiaan Kleijn, Jun Guo, Jingyi Yu:
Dirichlet Process Mixture of Generalized Inverted Dirichlet Distributions for Positive Vector Data With Extended Variational Inference. 6089-6102 - Bin Gu, An Xu, Zhouyuan Huo, Cheng Deng, Heng Huang:
Privacy-Preserving Asynchronous Vertical Federated Learning Algorithms for Multiparty Collaborative Learning. 6103-6115 - Monu Verma, M. Satish Kumar Reddy, Yashwanth Reddy Meedimale, Murari Mandal, Santosh Kumar Vipparthi:
AutoMER: Spatiotemporal Neural Architecture Search for Microexpression Recognition. 6116-6128 - Chia-Hung Yeh, Chu-Han Lin, Li-Wei Kang, Chih-Hsiang Huang, Min-Hui Lin, Chuan-Yu Chang, Chua-Chin Wang:
Lightweight Deep Neural Network for Joint Learning of Underwater Object Detection and Color Conversion. 6129-6143 - Wuneng Zhou, Yuqing Sun, Xin Zhang, Peng Shi:
Cluster Synchronization of Coupled Neural Networks With Lévy Noise via Event-Triggered Pinning Control. 6144-6157 - Zhiwen Chen, Ketian Liang, Steven X. Ding, Chao Yang, Tao Peng, Xiaofeng Yuan:
A Comparative Study of Deep Neural Network-Aided Canonical Correlation Analysis-Based Process Monitoring and Fault Detection Methods. 6158-6172 - Bin Xu, Xia Wang, Yingxin Shou, Peng Shi, Zhongke Shi:
Finite-Time Robust Intelligent Control of Strict-Feedback Nonlinear Systems With Flight Dynamics Application. 6173-6182 - Majid Mazouchi, Yongliang Yang, Hamidreza Modares:
Data-Driven Dynamic Multiobjective Optimal Control: An Aspiration-Satisfying Reinforcement Learning Approach. 6183-6193 - Felix Peppert, Max von Kleist, Christof Schütte, Vikram Sunkara:
On the Sufficient Condition for Solving the Gap-Filling Problem Using Deep Convolutional Neural Networks. 6194-6205 - Jianhui Wang, Hongkang Zhang, Kemao Ma, Zhi Liu, C. L. Philip Chen:
Neural Adaptive Self-Triggered Control for Uncertain Nonlinear Systems With Input Hysteresis. 6206-6214 - Lasitha Vidyaratne, Mahbubul Alam, Alexander Glandon, Anna Shabalina, Chris Tennant, Khan M. Iftekharuddin:
Deep Cellular Recurrent Network for Efficient Analysis of Time-Series Data With Spatial Information. 6215-6225 - Yu Liu, Xiongbin Chen, Yilin Wu, He Cai, Hiroshi Yokoi:
Adaptive Neural Network Control of a Flexible Spacecraft Subject to Input Nonlinearity and Asymmetric Output Constraint. 6226-6234 - Yuan Zhou, Xukai Xie, Sun-Yuan Kung:
Exploiting Operation Importance for Differentiable Neural Architecture Search. 6235-6248 - Zhenzhi Wu, Hehui Zhang, Yihan Lin, Guoqi Li, Meng Wang, Ye Tang:
LIAF-Net: Leaky Integrate and Analog Fire Network for Lightweight and Efficient Spatiotemporal Information Processing. 6249-6262 - Ao Ma, Jingjing Li, Ke Lu, Lei Zhu, Heng Tao Shen:
Adversarial Entropy Optimization for Unsupervised Domain Adaptation. 6263-6274 - Fan Ma, Yu Wu, Xin Yu, Yi Yang:
Learning With Noisy Labels via Self-Reweighting From Class Centroids. 6275-6285 - Xiao-Fang Liu, Zhi-Hui Zhan, Jun Zhang:
Resource-Aware Distributed Differential Evolution for Training Expensive Neural-Network-Based Controller in Power Electronic Circuit. 6286-6296 - Hamza Al Kouzbary, Mouaz Al Kouzbary, Lai Kuan Tham, Jingjing Liu, Hanie Nadia Shasmin, Noor Azuan Abu Osman:
Generating an Adaptive and Robust Walking Pattern for a Prosthetic Ankle-Foot by Utilizing a Nonlinear Autoregressive Network With Exogenous Inputs. 6297-6305 - Xin Liu, Xingzhi Wang, Yiu-Ming Cheung:
FDDH: Fast Discriminative Discrete Hashing for Large-Scale Cross-Modal Retrieval. 6306-6320 - Christa Cuchiero, Lukas Gonon, Lyudmila Grigoryeva, Juan-Pablo Ortega, Josef Teichmann:
Discrete-Time Signatures and Randomness in Reservoir Computing. 6321-6330 - Debanjan Konar, Siddhartha Bhattacharyya, Bijaya K. Panigrahi, Elizabeth C. Behrman:
Qutrit-Inspired Fully Self-Supervised Shallow Quantum Learning Network for Brain Tumor Segmentation. 6331-6345 - Shaogao Lv, Linsen Wei, Qian Zhang, Bin Liu, Zenglin Xu:
Improved Inference for Imputation-Based Semisupervised Learning Under Misspecified Setting. 6346-6359 - Xinyu Peng, Jiawei Zhang, Fei-Yue Wang, Li Li:
Drill the Cork of Information Bottleneck by Inputting the Most Important Data. 6360-6372 - Qinghua Tao, Jun Xu, Zhen Li, Na Xie, Shuning Wang, Xiaoli Li, Johan A. K. Suykens:
Toward Deep Adaptive Hinging Hyperplanes. 6373-6387 - Peng Jiang, Shiji Song, Gao Huang:
Attention-Based Meta-Reinforcement Learning for Tracking Control of AUV With Time-Varying Dynamics. 6388-6401 - Meijuan Yang, Licheng Jiao, Fang Liu, Biao Hou, Shuyuan Yang, Meng Jian:
DPFL-Nets: Deep Pyramid Feature Learning Networks for Multiscale Change Detection. 6402-6416 - Haibo Gu, Kexin Liu, Jinhu Lü, Zhang Ren:
Consensus of Stochastic Dynamical Multiagent Systems in Directed Networks via PI Protocols. 6417-6428 - Juan-José Giraldo, Mauricio A. Álvarez:
A Fully Natural Gradient Scheme for Improving Inference of the Heterogeneous Multioutput Gaussian Process Model. 6429-6442 - Yingfeng Cai, Lei Dai, Hai Wang, Long Chen, Yicheng Li:
DLnet With Training Task Conversion Stream for Precise Semantic Segmentation in Actual Traffic Scene. 6443-6457 - Jinsheng Ren, Shangqi Guo, Feng Chen:
Orientation-Preserving Rewards' Balancing in Reinforcement Learning. 6458-6472 - Yue Cao, Yonggui Kao, Ju H. Park, Haibo Bao:
Global Mittag-Leffler Stability of the Delayed Fractional-Coupled Reaction-Diffusion System on Networks Without Strong Connectedness. 6473-6483 - Xiaolin Zhang, Yunchao Wei, Zhao Li, Chenggang Yan, Yi Yang:
Rich Embedding Features for One-Shot Semantic Segmentation. 6484-6493 - Mingyuan Mao, Yuxin Tian, Baochang Zhang, Qixiang Ye, Wanquan Liu, David S. Doermann:
iffDetector: Inference-Aware Feature Filtering for Object Detection. 6494-6503 - Tao Jiang, Weiying Xie, Yunsong Li, Jie Lei, Qian Du:
Weakly Supervised Discriminative Learning With Spectral Constrained Generative Adversarial Network for Hyperspectral Anomaly Detection. 6504-6517 - Danfeng Hong, Lianru Gao, Jing Yao, Naoto Yokoya, Jocelyn Chanussot, Uta Heiden, Bing Zhang:
Endmember-Guided Unmixing Network (EGU-Net): A General Deep Learning Framework for Self-Supervised Hyperspectral Unmixing. 6518-6531 - Hanbin Zhao, Hao Zeng, Xin Qin, Yongjian Fu, Hui Wang, Bourahla Omar, Xi Li:
What and Where: Learn to Plug Adapters via NAS for Multidomain Learning. 6532-6544 - Jian Li, Jialu Du, C. L. Philip Chen:
Command-Filtered Robust Adaptive NN Control With the Prescribed Performance for the 3-D Trajectory Tracking of Underactuated AUVs. 6545-6557 - Liangxiao Jiang, Hao Zhang, Fangna Tao, Chaoqun Li:
Learning From Crowds With Multiple Noisy Label Distribution Propagation. 6558-6568 - Zhenyuan Guo, Shiqin Ou, Jun Wang:
Multistability of Switched Neural Networks With Gaussian Activation Functions Under State-Dependent Switching. 6569-6583 - Jingliang Duan, Yang Guan, Shengbo Eben Li, Yangang Ren, Qi Sun, Bo Cheng:
Distributional Soft Actor-Critic: Off-Policy Reinforcement Learning for Addressing Value Estimation Errors. 6584-6598 - Yuanhao Li, Badong Chen, Natsue Yoshimura, Yasuharu Koike:
Restricted Minimum Error Entropy Criterion for Robust Classification. 6599-6612 - Xuguang Bao, Jinjie Lu, Tianlong Gu, Liang Chang, Zhoubo Xu, Lizhen Wang:
Mining Non-Redundant Co-Location Patterns. 6613-6626 - Qinqin Zhou, Bineng Zhong, Xin Liu, Rongrong Ji:
Attention-Based Neural Architecture Search for Person Re-Identification. 6627-6639 - Yue Zhou, Nuo Xu, Bin Gao, Fuwei Zhuge, Zijian Tang, Xinchen Deng, Yi Li, Yuhui He, Xiangshui Miao:
Complementary Memtransistor-Based Multilayer Neural Networks for Online Supervised Learning Through (Anti-)Spike-Timing-Dependent Plasticity. 6640-6651 - Yuqing Ma, Shihao Bai, Wei Liu, Shuo Wang, Yue Yu, Xiao Bai, Xianglong Liu, Meng Wang:
Transductive Relation-Propagation With Decoupling Training for Few-Shot Learning. 6652-6664 - Lin Xiao, Lei Jia, Yaonan Wang, Jianhua Dai, Qing Liao, Quanxin Zhu:
Performance Analysis and Applications of Finite-Time ZNN Models With Constant/Fuzzy Parameters for TVQPEI. 6665-6676 - Changhui Wang, Limin Cui, Mei Liang, Jialin Li, Yantao Wang:
Adaptive Neural Network Control for a Class of Fractional-Order Nonstrict-Feedback Nonlinear Systems With Full-State Constraints and Input Saturation. 6677-6689 - Jia-Ming Zhang, Ben Niu, Ding Wang, Huanqing Wang, Ping Zhao, Guangdeng Zong:
Time-/Event-Triggered Adaptive Neural Asymptotic Tracking Control for Nonlinear Systems With Full-State Constraints and Application to a Single-Link Robot. 6690-6700 - Seif-Eddine Benkabou, Khalid Benabdeslem, Vivien Kraus, Kilian Bourhis, Bruno Canitia:
Local Anomaly Detection for Multivariate Time Series by Temporal Dependency Based on Poisson Model. 6701-6711 - Qian Li, Daling Wang, Shi Feng, Cheng Niu, Yifei Zhang:
Global Graph Attention Embedding Network for Relation Prediction in Knowledge Graphs. 6712-6725 - Wu-Dong Xi, Ling Huang, Chang-Dong Wang, Yin-Yu Zheng, Jian-Huang Lai:
Deep Rating and Review Neural Network for Item Recommendation. 6726-6736 - Junyang Chen, Zhiguo Gong, Jiqian Mo, Wei Wang, Wei Wang, Cong Wang, Xiao Dong, Weiwen Liu, Kaishun Wu:
Self-Training Enhanced: Network Embedding and Overlapping Community Detection With Adversarial Learning. 6737-6748 - Chenwei Tang, Zhenan He, Yunxia Li, Jiancheng Lv:
Zero-Shot Learning via Structure-Aligned Generative Adversarial Network. 6749-6762 - Zuowei Cai, Lihong Huang, Zengyun Wang:
Finite-/Fixed-Time Stability of Nonautonomous Functional Differential Inclusion: Lyapunov Approach Involving Indefinite Derivative. 6763-6774 - Xiuwen Gong, Dong Yuan, Wei Bao:
Top- Partial Label Machine. 6775-6788 - Keke Huang, Shujie Wu, Fanbiao Li, Chunhua Yang, Weihua Gui:
Fault Diagnosis of Hydraulic Systems Based on Deep Learning Model With Multirate Data Samples. 6789-6801 - Xueyang Fu, Menglu Wang, Xiangyong Cao, Xinghao Ding, Zheng-Jun Zha:
A Model-Driven Deep Unfolding Method for JPEG Artifacts Removal. 6802-6816 - Ling Zuo, Yinghan Xu, Chi Cheng, Kim-Kwang Raymond Choo:
A Privacy-Preserving Semisupervised Algorithm Under Maximum Correntropy Criterion. 6817-6830 - Weiyu Li, Zhaoxian Wu, Tianyi Chen, Liping Li, Qing Ling:
Communication-Censored Distributed Stochastic Gradient Descent. 6831-6843 - Jingyu Wang, Fangyuan Xie, Feiping Nie, Xuelong Li:
Unsupervised Adaptive Embedding for Dimensionality Reduction. 6844-6855 - Zhijun Zhang, Guangqiang Chen, Song Yang:
Ensemble Support Vector Recurrent Neural Network for Brain Signal Detection. 6856-6866 - Xiang Wu, Zejia Zheng, Juyang Weng:
Developmental Network-2: The Autonomous Generation of Optimal Internal-Representation Hierarchy. 6867-6880 - Xiaochang Lin, Jiewen Guan, Bilian Chen, Yifeng Zeng:
Unsupervised Feature Selection via Orthogonal Basis Clustering and Local Structure Preserving. 6881-6892 - Kun Wang, Xiaoping Liu, Yuanwei Jing:
Adaptive Finite-Time Command Filtered Controller Design for Nonlinear Systems With Output Constraints and Input Nonlinearities. 6893-6904 - Shen Yan, Zhou Gu, Sing Kiong Nguang:
Memory-Event-Triggered Output Control of Neural Networks With Mixed Delays. 6905-6915 - Jize Xue, Yongqiang Zhao, Shaoguang Huang, Wenzhi Liao, Jonathan Cheung-Wai Chan, Seong G. Kong:
Multilayer Sparsity-Based Tensor Decomposition for Low-Rank Tensor Completion. 6916-6930 - Xiao Wang, Jin Tang, Bin Luo, Yaowei Wang, Yonghong Tian, Feng Wu:
Tracking by Joint Local and Global Search: A Target-Aware Attention-Based Approach. 6931-6945 - Hong-xiang Hu, Changyun Wen, Guanghui Wen:
A Distributed Lyapunov-Based Redesign Approach for Heterogeneous Uncertain Agents With Cooperation-Competition Interactions. 6946-6960 - Huei-Fang Yang, Cheng-Hao Tu, Chu-Song Chen:
Learning Binary Hash Codes Based on Adaptable Label Representations. 6961-6975 - Alvin Chan, Lei Ma, Felix Juefei-Xu, Yew-Soon Ong, Xiaofei Xie, Minhui Xue, Yang Liu:
Breaking Neural Reasoning Architectures With Metamorphic Relation-Based Adversarial Examples. 6976-6982 - Guang-Yong Chen, Min Gan, C. L. Philip Chen, Hong-Tao Zhu, Long Chen:
Frequency Principle in Broad Learning System. 6983-6989 - Rui-Qi Wang, Xu-Yao Zhang, Cheng-Lin Liu:
Meta-Prototypical Learning for Domain-Agnostic Few-Shot Recognition. 6990-6996
Volume 33, Number 12, December 2022
- Zewen Li, Fan Liu, Wenjie Yang, Shouheng Peng, Jun Zhou:
A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects. 6999-7019 - Shengliang Peng, Shujun Sun, Yu-Dong Yao:
A Survey of Modulation Classification Using Deep Learning: Signal Representation and Data Preprocessing. 7020-7038 - Bernhard C. Geiger:
On Information Plane Analyses of Neural Network Classifiers - A Review. 7039-7051 - Xiangqian Yao, Yu Liu, Zhijun Zhang, Weiwei Wan:
Synchronization Rather Than Finite-Time Synchronization Results of Fractional-Order Multi-Weighted Complex Networks. 7052-7063 - Biao Yang, Guocheng Yan, Pin Wang, Ching-Yao Chan, Xiang Song, Yang Chen:
A Novel Graph-Based Trajectory Predictor With Pseudo-Oracle. 7064-7078 - Junyang Chen, Zhiguo Gong, Wei Wang, Cong Wang, Zhenghua Xu, Jianming Lv, Xueliang Li, Kaishun Wu, Weiwen Liu:
Adversarial Caching Training: Unsupervised Inductive Network Representation Learning on Large-Scale Graphs. 7079-7090 - Mingbao Lin, Liujuan Cao, Shaojie Li, Qixiang Ye, Yonghong Tian, Jianzhuang Liu, Qi Tian, Rongrong Ji:
Filter Sketch for Network Pruning. 7091-7100 - Yue Hu, Budhitama Subagdja, Ah-Hwee Tan, Quanjun Yin:
Vision-Based Topological Mapping and Navigation With Self-Organizing Neural Networks. 7101-7113 - Song Fu, Shisheng Zhong, Lin Lin, Minghang Zhao:
A Novel Time-Series Memory Auto-Encoder With Sequentially Updated Reconstructions for Remaining Useful Life Prediction. 7114-7125 - Shuangming Yang, Jiang Wang, Bin Deng, Mostafa Rahimi Azghadi, Bernabé Linares-Barranco:
Neuromorphic Context-Dependent Learning Framework With Fault-Tolerant Spike Routing. 7126-7140 - Boyu Yang, Fang Wan, Chang Liu, Bohao Li, Xiangyang Ji, Qixiang Ye:
Part-Based Semantic Transform for Few-Shot Semantic Segmentation. 7141-7152 - Qingtan Meng, Qian Ma:
Global Stabilization for a Class of Stochastic Nonlinear Time-Delay Systems With Unknown Measurement Drifts and Its Application. 7153-7160 - Juan Zhang, Huaguang Zhang, Kun Zhang, Yuliang Cai:
Observer-Based Output Feedback Event-Triggered Adaptive Control for Linear Multiagent Systems Under Switching Topologies. 7161-7171 - Xiaolong Fan, Maoguo Gong, Zedong Tang, Yue Wu:
Deep Neural Message Passing With Hierarchical Layer Aggregation and Neighbor Normalization. 7172-7184 - Bin-Bin Jia, Min-Ling Zhang:
Maximum Margin Multi-Dimensional Classification. 7185-7198 - Kai Qi, Hu Yang:
Elastic Net Nonparallel Hyperplane Support Vector Machine and Its Geometrical Rationality. 7199-7209 - Chen Ding, Tian-Yi Bao, He-Liang Huang:
Quantum-Inspired Support Vector Machine. 7210-7222 - Yidan Feng, Sen Deng, Xuefeng Yan, Xin Yang, Mingqiang Wei, Ligang Liu:
Easy2Hard: Learning to Solve the Intractables From a Synthetic Dataset for Structure-Preserving Image Smoothing. 7223-7236 - Enzo Tartaglione, Andrea Bragagnolo, Francesco Odierna, Attilio Fiandrotti, Marco Grangetto:
SeReNe: Sensitivity-Based Regularization of Neurons for Structured Sparsity in Neural Networks. 7237-7250 - Jin-Fan Hu, Ting-Zhu Huang, Liang-Jian Deng, Tai-Xiang Jiang, Gemine Vivone, Jocelyn Chanussot:
Hyperspectral Image Super-Resolution via Deep Spatiospectral Attention Convolutional Neural Networks. 7251-7265 - Tao Dong, Weilai Xiang, Tingwen Huang, Huaqing Li:
Pattern Formation in a Reaction-Diffusion BAM Neural Network With Time Delay: (k1, k2) Mode Hopf-Zero Bifurcation Case. 7266-7276 - Pinzhuo Tian, Wenbin Li, Yang Gao:
Consistent Meta-Regularization for Better Meta-Knowledge in Few-Shot Learning. 7277-7288 - Mingxuan Sun, Yu Zhang, Yuxin Wu, Xiongxiong He:
On a Finitely Activated Terminal RNN Approach to Time-Variant Problem Solving. 7289-7302 - Wenqian Dong, Shaoxiong Hou, Song Xiao, Jiahui Qu, Qian Du, Yunsong Li:
Generative Dual-Adversarial Network With Spectral Fidelity and Spatial Enhancement for Hyperspectral Pansharpening. 7303-7317 - Hyuk Jin Kwon, Hyung Il Koo, Jae Woong Soh, Nam Ik Cho:
Inverse-Based Approach to Explaining and Visualizing Convolutional Neural Networks. 7318-7329 - Lusine Abrahamyan, Yiming Chen, Giannis Bekoulis, Nikos Deligiannis:
Learned Gradient Compression for Distributed Deep Learning. 7330-7344 - Tingting Gao, Tieshan Li, Yan-Jun Liu, Shaocheng Tong:
IBLF-Based Adaptive Neural Control of State-Constrained Uncertain Stochastic Nonlinear Systems. 7345-7356 - Mingbao Lin, Rongrong Ji, Shaojie Li, Yan Wang, Yongjian Wu, Feiyue Huang, Qixiang Ye:
Network Pruning Using Adaptive Exemplar Filters. 7357-7366 - Tinghuan Chen, Bin Duan, Qi Sun, Meng Zhang, Guoqing Li, Hao Geng, Qianru Zhang, Bei Yu:
An Efficient Sharing Grouped Convolution via Bayesian Learning. 7367-7379 - Junli Wang, Hongda Qi, Mingjian Guang, Chaobo Zhang, Chungang Yan, Changjun Jiang:
Net Learning. 7380-7389 - Yufeng Tian, Zhanshan Wang:
Stochastic Stability of Markovian Neural Networks With Generally Hybrid Transition Rates. 7390-7399 - Pengfei Jiao, Xuan Guo, Xin Jing, Dongxiao He, Huaming Wu, Shirui Pan, Maoguo Gong, Wenjun Wang:
Temporal Network Embedding for Link Prediction via VAE Joint Attention Mechanism. 7400-7413 - Wenqi Xu, Xiaoping Liu, Huanqing Wang, Yucheng Zhou:
Event-Triggered Adaptive NN Tracking Control for MIMO Nonlinear Discrete-Time Systems. 7414-7424 - Shirui Luo, Xiaochun Cao:
Multiview Subspace Dual Clustering. 7425-7437 - Jie Tao, Zehui Xiao, Zeyu Li, Jun Wu, Renquan Lu, Peng Shi, Xiaofeng Wang:
Dynamic Event-Triggered State Estimation for Markov Jump Neural Networks With Partially Unknown Probabilities. 7438-7447 - Hong Xie, John C. S. Lui:
A Reinforcement Learning Approach to Price Cloud Resources With Provable Convergence Guarantees. 7448-7460 - Foivos Ntelemis, Yaochu Jin, Spencer Angus Thomas:
Image Clustering Using an Augmented Generative Adversarial Network and Information Maximization. 7461-7474 - Tao Peng, Jianlong Qiu, Jianquan Lu, Zhengwen Tu, Jinde Cao:
Finite-Time and Fixed-Time Synchronization of Quaternion-Valued Neural Networks With/Without Mixed Delays: An Improved One-Norm Method. 7475-7487 - You Zhao, Xiaofeng Liao, Xing He, Rongqiang Tang:
Centralized and Collective Neurodynamic Optimization Approaches for Sparse Signal Reconstruction via L₁-Minimization. 7488-7501 - Guangzeng Chen, Guangke Chen, Yunjiang Lou:
Diagonal Recurrent Neural Network-Based Hysteresis Modeling. 7502-7512 - Xu Yuan, Bing Chen, Chong Lin:
Prescribed Finite-Time Adaptive Neural Tracking Control for Nonlinear State-Constrained Systems: Barrier Function Approach. 7513-7522 - Syed Ali Asad Rizvi, Amanda J. Pertzborn, Zongli Lin:
Reinforcement Learning Based Optimal Tracking Control Under Unmeasurable Disturbances With Application to HVAC Systems. 7523-7533 - Jason J. R. Liu, James Lam, Bohao Zhu, Xiaomei Wang, Zhan Shu, Ka-Wai Kwok:
Nonnegative Consensus Tracking of Networked Systems With Convergence Rate Optimization. 7534-7544 - Xiaoyu Zhang, Degang Wang, Kaoru Ota, Mianxiong Dong, Hongxing Li:
Delay-Dependent Switching Approaches for Stability Analysis of Two Additive Time-Varying Delay Neural Networks. 7545-7558 - Dong Shen, Niu Huo, Samer S. Saab:
A Probabilistically Quantized Learning Control Framework for Networked Linear Systems. 7559-7573 - Rui Yan, Xiangbo Shu, Chengcheng Yuan, Qi Tian, Jinhui Tang:
Position-Aware Participation-Contributed Temporal Dynamic Model for Group Activity Recognition. 7574-7588 - Bin Xian, Xu Zhang, Haonan Zhang, Xun Gu:
Robust Adaptive Control for a Small Unmanned Helicopter Using Reinforcement Learning. 7589-7597 - Zheng Chai, Chunhui Zhao, Biao Huang, Hongtian Chen:
A Deep Probabilistic Transfer Learning Framework for Soft Sensor Modeling With Missing Data. 7598-7609 - Zeya Wang, Yang Ni, Baoyu Jing, Deqing Wang, Hao Zhang, Eric P. Xing:
DNB: A Joint Learning Framework for Deep Bayesian Nonparametric Clustering. 7610-7620 - Tielin Zhang, Shuncheng Jia, Xiang Cheng, Bo Xu:
Tuning Convolutional Spiking Neural Network With Biologically Plausible Reward Propagation. 7621-7631 - Nuri Mert Vural, Fatih Ilhan, Selim Firat Yilmaz, Salih Ergüt, Suleyman Serdar Kozat:
Achieving Online Regression Performance of LSTMs With Simple RNNs. 7632-7643 - Bo Tian, Chenliang Wang, Lei Guo:
Composite Antidisturbance Control for Non-Gaussian Stochastic Systems via Information-Theoretic Learning Technique. 7644-7654 - An-An Liu, Hongshuo Tian, Ning Xu, Weizhi Nie, Yongdong Zhang, Mohan S. Kankanhalli:
Toward Region-Aware Attention Learning for Scene Graph Generation. 7655-7666 - Yiyang Zhang, Feng Liu, Zhen Fang, Bo Yuan, Guangquan Zhang, Jie Lu:
Learning From a Complementary-Label Source Domain: Theory and Algorithms. 7667-7681 - Kai Wang, Junghui Chen, Zhihuan Song, Yalin Wang, Chunhua Yang:
Deep Neural Network-Embedded Stochastic Nonlinear State-Space Models and Their Applications to Process Monitoring. 7682-7694 - Qiuyue Zuo, Kenli Li, Lin Xiao, Keqin Li:
Robust Finite-Time Zeroing Neural Networks With Fixed and Varying Parameters for Solving Dynamic Generalized Lyapunov Equation. 7695-7705 - Justin Leo, Jugal Kalita:
Incremental Deep Neural Network Learning Using Classification Confidence Thresholding. 7706-7716 - Navid Azizan, Sahin Lale, Babak Hassibi:
Stochastic Mirror Descent on Overparameterized Nonlinear Models. 7717-7727 - Shuangshuang Xiong, Zhongsheng Hou:
Data-Driven Formation Control for Unknown MIMO Nonlinear Discrete-Time Multi-Agent Systems With Sensor Fault. 7728-7742 - Tianrui Chen, Zejian Zhu, Cong Wang, ZhaoYang Dong:
Rapid Sensor Fault Diagnosis for a Class of Nonlinear Systems via Deterministic Learning. 7743-7754 - Yawei Zhao, Shuang Qiu, Kuan Li, Lailong Luo, Jianping Yin, Ji Liu:
Proximal Online Gradient Is Optimum for Dynamic Regret: A General Lower Bound. 7755-7764 - Jianming Ye, Jingdong Wang, Shiliang Zhang:
Distillation-Guided Residual Learning for Binary Convolutional Neural Networks. 7765-7777 - Shubham Pateria, Budhitama Subagdja, Ah-Hwee Tan, Chai Quek:
End-to-End Hierarchical Reinforcement Learning With Integrated Subgoal Discovery. 7778-7790 - Yongming Li, Jiaxin Zhang, Wei Liu, Shaocheng Tong:
Observer-Based Adaptive Optimized Control for Stochastic Nonlinear Systems With Input and State Constraints. 7791-7805 - Fanhua Shang, Bingkun Wei, Hongying Liu, Yuanyuan Liu, Pan Zhou, Maoguo Gong:
Efficient Gradient Support Pursuit With Less Hard Thresholding for Cardinality-Constrained Learning. 7806-7817 - Xing He, Hongsong Wen, Tingwen Huang:
A Fixed-Time Projection Neural Network for Solving L₁-Minimization Problem. 7818-7828 - Ben Mussay, Dan Feldman, Samson Zhou, Vladimir Braverman, Margarita Osadchy:
Data-Independent Structured Pruning of Neural Networks via Coresets. 7829-7841 - Rana Ali Amjad, Kairen Liu, Bernhard C. Geiger:
Understanding Neural Networks and Individual Neuron Importance via Information-Ordered Cumulative Ablation. 7842-7852 - Jia-Li Yin, Bo-Hao Chen, Yan-Tsung Peng, Hau Hwang:
Automatic Intermediate Generation With Deep Reinforcement Learning for Robust Two-Exposure Image Fusion. 7853-7862 - Zhenshan Bing, Matthias Brucker, Fabrice O. Morin, Rui Li, Xiaojie Su, Kai Huang, Alois C. Knoll:
Complex Robotic Manipulation via Graph-Based Hindsight Goal Generation. 7863-7876 - Tomas Kulvicius, Sebastian Herzog, Minija Tamosiunaite, Florentin Wörgötter:
Finding Optimal Paths Using Networks Without Learning - Unifying Classical Approaches. 7877-7887 - Feng Lin:
Supervised Learning in Neural Networks: Feedback-Network-Free Implementation and Biological Plausibility. 7888-7898 - Min Shi, Yufei Tang, Xingquan Zhu:
Topology and Content Co-Alignment Graph Convolutional Learning. 7899-7907 - Qian Ma, Shengyuan Xu:
Consensusability of First-Order Multiagent Systems Under Distributed PID Controller With Time Delay. 7908-7912 - Pawel Staszewski, Maciej Jaworski, Jinde Cao, Leszek Rutkowski:
A New Approach to Descriptors Generation for Image Retrieval by Analyzing Activations of Deep Neural Network Layers. 7913-7920 - Heng-Shiou Sheu, Zhixuan Chu, Daiqing Qi, Sheng Li:
Knowledge-Guided Article Embedding Refinement for Session-Based News Recommendation. 7921-7927 - Yijun Bian, Qingquan Song, Mengnan Du, Jun Yao, Huanhuan Chen, Xia Hu:
Subarchitecture Ensemble Pruning in Neural Architecture Search. 7928-7936 - Rebecca L. Russell, Christopher P. Reale:
Multivariate Uncertainty in Deep Learning. 7937-7943 - Danyang Wu, Feiping Nie, Xia Dong, Rong Wang, Xuelong Li:
Parameter-Free Consensus Embedding Learning for Multiview Graph-Based Clustering. 7944-7950
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