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ORCIDIEEE Transactions on Neural Networks, Volume 21
Volume 21, Number 1, January 2010
- Derong Liu
:
Editorial: the IEEE transactions on neural networks 2010 and beyond. 1-2 - Zidong Wang, Yao Wang, Yurong Liu:
Global synchronization for discrete-time stochastic complex networks with randomly occurred nonlinearities and mixed time delays. 11-25 - Xun Liang:
An effective method of pruning support vector machine classifiers. 26-38 - Zhanshan Wang, Huaguang Zhang:
Global asymptotic stability of reaction-diffusion Cohen-Grossberg neural networks with continuously distributed delays. 39-49 - Travis Dierks, Sarangapani Jagannathan:
Output feedback control of a quadrotor UAV using neural networks. 50-66 - Cheng Hu, Haijun Jiang, Zhidong Teng:
Impulsive control and synchronization for delayed neural networks with reaction-diffusion terms. 67-81 - Yong Xiang, Sze Kui Ng, Van Khanh Nguyen:
Blind separation of mutually correlated sources using precoders. 82-90 - Huaguang Zhang, Zhenwei Liu, Guang-Bin Huang, Zhanshan Wang:
Novel weighting-delay-based stability criteria for recurrent neural networks with time-varying delay. 91-106 - Nizar Bouguila, Djemel Ziou:
A Dirichlet process mixture of generalized Dirichlet distributions for proportional data modeling. 107-122 - Junbin Gao, Jun Zhang, David Tien:
Relevance units latent variable model and nonlinear dimensionality reduction. 123-135 - Whye Loon Tung, Chai Quek:
eFSM: a novel online neural-fuzzy semantic memory model. 136-157 - Yoan Miche, Antti Sorjamaa, Patrick Bas, Olli Simula, Christian Jutten, Amaury Lendasse:
OP-ELM: optimally pruned extreme learning machine. 158-162 - Bing-Yu Sun, Xiaoming Zhang, Jiuyong Li, Xue-Min Mao:
Feature fusion using locally linear embedding for classification. 163-168 - Rongni Yang, Zexu Zhang, Peng Shi:
Exponential stability on stochastic neural networks with discrete interval and distributed delays. 169-175 - Xiangyu Kong, Changhua Hu, Chongzhao Han:
On the discrete-time dynamics of a class of self-stabilizing MCA extraction algorithms. 175-181
Volume 21, Number 2, February 2010
- Weiling Cai, Songcan Chen, Daoqiang Zhang:
A multiobjective simultaneous learning framework for clustering and classification. 185-200 - Yoshikazu Washizawa:
Feature extraction using constrained approximation and suppression. 201-210 - Renata Lúcia Mendonça Ernesto do Rego, Aluízio Fausto Ribeiro Araújo, Fernando Buarque de Lima Neto:
Growing self-reconstruction maps. 211-223 - Yoshihiro Hayakawa, Koji Nakajima:
Design of the inverse function delayed neural network for solving combinatorial optimization problems. 224-237 - Zhe Sun, Zengke Zhang, Huangang Wang, Min Jiang:
Cutting plane method for continuously constrained kernel-based regression. 238-247 - Vicente Zarzoso, Pierre Comon:
Robust independent component analysis by iterative maximization of the kurtosis contrast with algebraic optimal step size. 248-261 - Derrick Takeshi Mirikitani, Nikolay I. Nikolaev:
Recursive Bayesian recurrent neural networks for time-series modeling. 262-274 - Stefano Ferrari, Francesco Bellocchio, Vincenzo Piuri, N. Alberto Borghese:
A hierarchical RBF online learning algorithm for real-time 3-D scanner. 275-285 - Simeon A. Bamford, Alan F. Murray, David J. Willshaw:
Large developing receptive fields using a distributed and locally reprogrammable address-event receiver. 286-304 - Jiancheng Sun, Chongxun Zheng, Xiaohe Li, Yatong Zhou:
Analysis of the distance between two classes for tuning SVM hyperparameters. 305-318 - Fei Wang, Bin Zhao, Changshui Zhang:
Linear time maximum margin clustering. 319-332 - Sang Wan Lee, Zeungnam Bien:
Representation of a fisher criterion function in a kernel feature space. 333-339 - Zhiqiang Zuo, Cuili Yang, Yijing Wang:
A new method for stability analysis of recurrent neural networks with interval time-varying delay. 339-344 - Weisheng Chen, Licheng Jiao:
Adaptive tracking for periodically time-varying and nonlinearly parameterized systems using multilayer neural networks. 345-351 - Fabrizio Angiulli, Annabella Astorino:
Scaling up support vector machines using nearest neighbor condensation. 351-357
Volume 21, Number 3, March 2010
- Sintiani Dewi Teddy, Chai Quek, Edmund Ming-Kit Lai, Ali Cinar:
PSECMAC intelligent insulin schedule for diabetic blood glucose management under nonmeal announcement. 361-380 - Saichon Jaiyen, Chidchanok Lursinsap, Suphakant Phimoltares:
A very fast neural learning for classification using only new incoming datum. 381-392 - Wenming Zheng, Zhouchen Lin, Xiaoou Tang:
A rank-one update algorithm for fast solving kernel Foley-Sammon optimal discriminant vectors. 393-403 - Balaje T. Thumati, Sarangapani Jagannathan:
A model-based fault-detection and prediction scheme for nonlinear multivariable discrete-time systems with asymptotic stability guarantees. 404-423 - Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, Paolo Gastaldo, Davide Anguita:
Using unsupervised analysis to constrain generalization bounds for support vector classifiers. 424-438 - Ju Hong Ge, Jian Xu:
Computation of synchronized periodic solution in a BAM network with two delays. 439-450 - Chong Jin Ong, Shiyun Shao, Jianbo Yang:
An improved algorithm for the solution of the regularization path of support vector machine. 451-462 - Qing Song:
On the weight convergence of Elman networks. 463-480 - Delu Zeng, Zhiheng Zhou, Shengli Xie:
Coarse-to-fine boundary location with a SOM-like method. 481-493 - Zhang Yi:
Foundations of implementing the competitive layer model by Lotka-Volterra recurrent neural networks. 494-507 - Wu-Hua Chen, Wei Xing Zheng:
Robust stability analysis for stochastic neural networks with time-varying delay. 508-514 - Manish Narwaria, Weisi Lin:
Objective image quality assessment based on support vector regression. 515-519 - Kadim Tasdemir:
Graph based representations of density distribution and distances for self-organizing maps. 520-526
Volume 21, Number 4, April 2010
- Assem Kaylani, Michael Georgiopoulos, Mansooreh Mollaghasemi, Georgios C. Anagnostopoulos, Christopher Sentelle, Mingyu Zhong:
An adaptive multiobjective approach to evolving ART architectures. 529-550 - Wei-Shi Zheng, Jian-Huang Lai, Pong Chi Yuen:
Penalized preimage learning in kernel principal component analysis. 551-570 - Wangli He, Jinde Cao:
Exponential synchronization of hybrid coupled networks with delayed coupling. 571-583 - Daizhan Cheng, Hongsheng Qi:
State-space analysis of Boolean networks. 584-594 - Djamel Bouchaffra:
Conformation-based hidden Markov models: application to human face identification. 595-608 - José Antonio Pérez-Carrasco, Begoña Acha, Carmen Serrano, Luis A. Camuñas-Mesa, Teresa Serrano-Gotarredona, Bernabé Linares-Barranco:
Fast vision through frameless event-based sensing and convolutional processing: application to texture recognition. 609-620 - Jun Liu, Songcan Chen, Zhi-Hua Zhou, Xiaoyang Tan:
Generalized low-rank approximations of matrices revisited. 621-632 - Cheolhwan Oh, Stanislaw H. Zak:
Large-scale pattern storage and retrieval using generalized brain-state-in-a-box neural networks. 633-643 - Kai Zhang, James T. Kwok:
Simplifying mixture models through function approximation. 644-658 - Chunhua Shen, Hanxi Li:
Boosting through optimization of margin distributions. 659-666 - Burcu Erkmen, Nihan Kahraman, Revna Acar Vural, Tülay Yildirim:
Conic section function neural network circuitry for offline signature recognition. 667-672 - Marcos Angel Gonzalez-Olvera, Yu Tang:
Black-box identification of a class of nonlinear systems by a recurrent neurofuzzy network. 672-679 - Hamse Y. Mussa, Robert C. Glen:
Memory-efficient fully coupled filtering approach for observational model building. 680-686 - Cristiano Cervellera:
Lattice point sets for deterministic learning and approximate optimization problems. 687-692 - Zhengguang Wu, Hongye Su, Jian Chu, Wuneng Zhou:
Improved delay-dependent stability condition of discrete recurrent neural networks with time-varying delays. 692-697
Volume 21, Number 5, May 2010
- Yaman Aksu, David J. Miller, George Kesidis, Qing X. Yang:
Margin-maximizing feature elimination methods for linear and nonlinear kernel-based discriminant functions. 701-717 - Leonid I. Perlovsky:
Neural mechanisms of the mind, Aristotle, Zadeh, and fMRI. 718-733 - Zhirong Yang, Erkki Oja:
Linear and nonlinear projective nonnegative matrix factorization. 734-749 - Juan Carlos Fernández Caballero, Francisco José Martínez, César Hervás, Pedro Antonio Gutiérrez:
Sensitivity versus accuracy in multiclass problems using memetic Pareto evolutionary neural networks. 750-770 - Yuguang Fang, Michael A. Cohen, Thomas G. Kincaid:
Dynamic analysis of a general class of winner-take-all competitive neural networks. 771-783 - Sarunas Raudys, Rimantas Kybartas, Edmundas Kazimieras Zavadskas:
Multicategory nets of single-layer perceptrons: complexity and sample-size issues. 784-795 - Mou Chen, Shuzhi Sam Ge, Bernard Voon Ee How:
Robust adaptive neural network control for a class of uncertain MIMO nonlinear systems with input nonlinearities. 796-812 - Taghi M. Khoshgoftaar, Jason Van Hulse, Amri Napolitano:
Supervised neural network modeling: an empirical investigation into learning from imbalanced data with labeling errors. 813-830 - Petra Schneider, Kerstin Bunte, Han Stiekema, Barbara Hammer, Thomas Villmann, Michael Biehl:
Regularization in matrix relevance learning. 831-840 - Simone G. O. Fiori:
Learning by natural gradient on noncompact matrix-type pseudo-Riemannian manifolds. 841-852 - Luping Zhou, Lei Wang, Chunhua Shen:
Feature selection with redundancy-constrained class separability. 853-858 - Danil V. Prokhorov:
A convolutional learning system for object classification in 3-D lidar data. 858-863 - Vicente Zarzoso, Pierre Comon, Ronald Phlypo:
A contrast function for independent component analysis without permutation ambiguity. 863-868
Volume 21, Number 6, June 2010
- Prashanta Kumar Patra, Muktikanta Sahu, Subasish Mohapatra, Ronak Kumar Samantray:
File access prediction using neural networks. 869-882 - Ping Sun, Xin Yao:
Sparse approximation through boosting for learning large scale kernel machines. 883-894 - Daqing Guo, Chunguang Li:
Self-sustained irregular activity in 2-D small-world networks of excitatory and inhibitory neurons. 895-905 - Hennie Daniels, Marina Velikova:
Monotone and partially monotone neural networks. 906-917 - Xing-Bao Gao, Li-Zhi Liao:
A new one-layer neural network for linear and quadratic programming. 918-929 - Bogdan M. Wilamowski, Hao Yu:
Improved computation for Levenberg-Marquardt training. 930-937 - Kevin I.-J. Ho, Chi-Sing Leung, John Sum:
Convergence and objective functions of some fault/noise-injection-based online learning algorithms for RBF networks. 938-947 - Mauro Tucci, Marco Raugi:
Adaptive FIR neural model for centroid learning in self-organizing maps. 948-960 - Rafal Dlugosz, Tomasz Talaska, Witold Pedrycz, Ryszard Wojtyna:
Realization of the conscience mechanism in CMOS implementation of winner-takes-all self-organizing neural networks. 961-971 - Oswaldo Ludwig, Urbano Nunes:
Novel maximum-margin training algorithms for supervised neural networks. 972-984 - Javan Tan, Chai Quek:
A BCM theory of meta-plasticity for online self-reorganizing fuzzy-associative learning. 985-1003 - Sotirios P. Chatzis, Gabriel Tsechpenakis:
The infinite hidden Markov random field model. 1004-1014 - Evaldo Araújo de Oliveira, Nestor Caticha:
Inference from aging information. 1015-1020 - Santanu Ghorai, Anirban Mukherjee, Pranab K. Dutta:
Discriminant analysis for fast multiclass data classification through regularized kernel function approximation. 1020-1029
Volume 21, Number 7, July 2010
- Zenglin Xu, Irwin King, Michael R. Lyu, Rong Jin:
Discriminative semi-supervised feature selection via manifold regularization. 1033-1047 - Masayuki Karasuyama, Ichiro Takeuchi:
Multiple incremental decremental learning of support vector machines. 1048-1059 - Masaki Kobayashi:
Exceptional reducibility of complex-valued neural networks. 1060-1072 - Xiaolin Hu, Changyin Sun, Bo Zhang:
Design of recurrent neural networks for solving constrained least absolute deviation problems. 1073-1086 - Basabdatta Sen Bhattacharya, Stephen B. Furber:
Biologically inspired means for rank-order encoding images: a quantitative analysis. 1087-1099 - Chengde Zheng, Huaguang Zhang, Zhanshan Wang:
An augmented LKF approach involving derivative information of both state and delay. 1100-1109 - Walter Allegretto, Duccio Papini, Mauro Forti:
Common asymptotic behavior of solutions and almost periodicity for discontinuous, delayed, and impulsive neural networks. 1110-1125 - Wu-Hua Chen, Wei Xing Zheng:
A new method for complete stability analysis of cellular neural networks with time delay. 1126-1139 - Qingshan Liu, Chuangyin Dang, Jinde Cao:
A novel recurrent neural network with one neuron and finite-time convergence for k-winners-take-all operation. 1140-1148 - Chih-Min Lin, Li-Yang Chen, Daniel S. Yeung:
Adaptive filter design using recurrent cerebellar model articulation controller. 1149-1157 - Agustín Gajate, Rodolfo E. Haber, Pastora I. Vega, José R. Alique:
A transductive neuro-fuzzy controller: application to a drilling process. 1158-1167 - Badong Chen, Yu Zhu, Jinchun Hu:
Mean-square convergence analysis of ADALINE training with minimum error entropy criterion. 1168-1179 - Vu Ngoc Phat, Hieu Trinh:
Exponential stabilization of neural networks with various activation functions and mixed time-varying delays. 1180-1184 - Huajin Tang, Haizhou Li, Zhang Yi:
A discrete-time neural network for optimization problems with hybrid constraints. 1184-1189 - Yuanqing Li, Shun-ichi Amari:
Two conditions for equivalence of 0-norm solution and 1-norm solution in sparse representation. 1189-1196
Volume 21, Number 8, August 2010
- Chunhua Feng, Réjean Plamondon, Christian O'Reilly:
On some necessary and sufficient conditions for a recurrent neural network model with time delays to generate oscillations. 1197-1205 - Jianyong Sun, Ata Kabán:
A fast algorithm for robust mixtures in the presence of measurement errors. 1206-1220 - Johnny Wei-Hsun Kao, Stevan M. Berber, Vojislav Kecman:
Blind multiuser detector for chaos-based CDMA using support vector machine. 1221-1231 - Andrew Chi-Sing Leung, Hongjiang Wang, John Sum:
On the selection of weight decay parameter for faulty networks. 1232-1244 - Elias B. Kosmatopoulos:
Control of unknown nonlinear systems with efficient transient performance using concurrent exploitation and exploration. 1245-1261 - John Seiffertt, Donald C. Wunsch:
Backpropagation and ordered derivatives in the time scales calculus. 1262-1269 - Baohua Li, Jennie Si:
Approximate robust policy iteration using multilayer perceptron neural networks for discounted infinite-horizon Markov decision processes with uncertain correlated transition matrices. 1270-1280 - Eduardo Rodriguez-Martinez, John Yannis Goulermas, Tingting Mu, Jason F. Ralph:
Automatic induction of projection pursuit indices. 1281-1295 - Yi-Hung Liu, Yan-Chen Liu, Yen-Jen Chen:
Fast support vector data descriptions for novelty detection. 1296-1313 - Quanxin Zhu, Jinde Cao:
Robust exponential stability of Markovian jump impulsive stochastic Cohen-Grossberg neural networks with mixed time delays. 1314-1325 - Thanh Minh Nguyen, Q. M. Jonathan Wu, Siddhant Ahuja:
An extension of the standard mixture model for image segmentation. 1326-1338 - Beibei Ren, Shuzhi Sam Ge, Keng Peng Tee, Tong Heng Lee:
Adaptive neural control for output feedback nonlinear systems using a barrier Lyapunov function. 1339-1345 - Miguel Lázaro-Gredilla, Aníbal R. Figueiras-Vidal:
Marginalized neural network mixtures for large-scale regression. 1345-1351 - Long Cheng, Zeng-Guang Hou, Min Tan, Yingzi Lin, Wenjun Chris Zhang:
Neural-network-based adaptive leader-following control for multiagent systems with uncertainties. 1351-1358 - Donglian Qi, Meiqin Liu, Meikang Qiu, Senlin Zhang:
Exponential H∞ synchronization of general discrete-time chaotic neural networks with or without time delays. 1358-1365 - Tao Li, Aiguo Song, Shumin Fei, Ting Wang:
Delay-derivative-dependent stability for delayed neural networks with unbound distributed delay. 1365-1371 - Zhigang Zeng, Tingwen Huang, Wei Xing Zheng:
Multistability of recurrent neural networks with time-varying delays and the piecewise linear activation function. 1371-1377
Volume 21, Number 9, September 2010
- Shuning Wang, Xiaolin Huang, Yeung Yam:
A neural network of smooth hinge functions. 1381-1395 - Ligang Wu, Zhiguang Feng, Wei Xing Zheng:
Exponential stability analysis for delayed neural networks with switching parameters: average dwell time approach. 1396-1407 - Sung Hwan Won, Iickho Song, Sun-Young Lee, Cheol Hoon Park:
Identification of finite state automata with a class of recurrent neural networks. 1408-1421 - Ming Sun, Lin Zhao, Wei Cao, Yao-Qun Xu, Xuefeng Dai, Xiaoxu Wang:
Novel hysteretic noisy chaotic neural network for broadcast scheduling problems in packet radio networks. 1422-1433 - José Luis Aznarte, José Manuel Benítez:
Equivalences between neural-autoregressive time series models and fuzzy systems. 1434-1444 - Mingming Sun, Jian Yang, Chuancai Liu, Jingyu Yang:
Similarity preserving principal curve: an optimal 1-D feature extractor for data representation. 1445-1456 - An-Min Zou, Krishna Dev Kumar, Zeng-Guang Hou:
Quaternion-based adaptive output feedback attitude control of spacecraft using Chebyshev neural networks. 1457-1471 - Yoshikazu Washizawa, Yukihiko Yamashita, Toshihisa Tanaka, Andrzej Cichocki:
Blind extraction of global signal from multi-channel noisy observations. 1472-1481 - Lu Xu, Tommy W. S. Chow:
Self-organizing potential field network: a new optimization algorithm. 1482-1495 - Jun Wang:
Analysis and design of a k-winners-take-all model with a single state variable and the heaviside step activation function. 1496-1506 - Konstantin Y. Volyanskyy, Wassim M. Haddad:
A Q-modification neuroadaptive control architecture for discrete-time systems. 1507-1511 - Hsin Chen, Sylvain Saïghi, Laure Buhry, Sylvie Renaud:
Real-time simulation of biologically realistic stochastic neurons in VLSI. 1511-1517 - Muzhou Hou, Xuli Han:
Constructive approximation to multivariate function by decay RBF neural network. 1517-1523 - Chunhua Shen, Junae Kim, Lei Wang:
Scalable large-margin Mahalanobis distance metric learning. 1524-1530
Volume 21, Number 10, October 2010
- Seung-Mook Baek, Jung-Wook Park:
Hessian matrix estimation in hybrid systems based on an embedded FFNN. 1533-1542 - Ezequiel López-Rubio:
Probabilistic self-organizing maps for continuous data. 1543-1554 - Xiaodi Li, Jianhua Shen:
LMI approach for stationary oscillation of interval neural networks with discrete and distributed time-varying delays under impulsive perturbations. 1555-1563 - Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. Tsang:
Incorporating the loss function into discriminative clustering of structured outputs. 1564-1575 - Kai Zhang, James T. Kwok:
Clustered Nyström method for large scale manifold learning and dimension reduction. 1576-1587 - Ioannis Psorakis, Theodoros Damoulas, Mark A. Girolami:
Multiclass relevance vector machines: sparsity and accuracy. 1588-1598 - Sevcan Yilmaz, Yusuf Oysal:
Fuzzy wavelet neural network models for prediction and identification of dynamical systems. 1599-1609 - Jialue Fan, Wei Xu, Ying Wu, Yihong Gong:
Human tracking using convolutional neural networks. 1610-1623 - Sheng Chen, Haibo He, Edwardo A. Garcia:
RAMOBoost: ranked minority oversampling in boosting. 1624-1642 - Zhenkun Huang, Xinghua Wang, Chunhua Feng:
Multiperiodicity of periodically oscillated discrete-time neural networks with transient excitatory self-connections and sigmoidal nonlinearities. 1643-1655 - Xinsong Yang, Jinde Cao, Yao Long, Weiguo Rui:
Adaptive lag synchronization for competitive neural networks with mixed delays and uncertain hybrid perturbations. 1656-1667 - Jan Faigl:
Approximate solution of the multiple watchman routes problem with restricted visibility range. 1668-1679 - Danmei Chen, Sheng Li, Zoe Kourtzi, Si Wu:
Behavior-constrained support vector machines for fMRI data analysis. 1680-1685 - Fei Cheng, Jiangsheng Yu, Huilin Xiong:
Facial expression recognition in JAFFE dataset based on Gaussian process classification. 1685-1690 - Jiali Yu, Zhang Yi, Jiliu Zhou:
Continuous attractors of Lotka-Volterra recurrent neural networks with infinite neurons. 1690-1695
Volume 21, Number 11, November 2010
- Joo Heon Shin, Dave Smith, Waldemar Swiercz, Kevin Staley, John T. Rickard, Javier Montero, Lukasz A. Kurgan, Krzysztof J. Cios:
Recognition of Partially Occluded and Rotated Images With a Network of Spiking Neurons. 1697-1709 - Zhenwei Liu, Huaguang Zhang, Qingling Zhang:
Novel Stability Analysis for Recurrent Neural Networks With Multiple Delays via Line Integral-Type L-K Functional. 1710-1718 - Hirokazu Yoshino, Chen Dong, Yoshikazu Washizawa, Yukihiko Yamashita:
Kernel Wiener Filter and Its Application to Pattern Recognition. 1719-1730 - Eduardo Bayro-Corrochano, Nancy Arana-Daniel:
Clifford Support Vector Machines for Classification, Regression, and Recurrence. 1731-1746 - Jaroslaw Piersa, Filip Piekniewski, Tomasz Schreiber:
Theoretical Model for Mesoscopic-Level Scale-Free Self-Organization of Functional Brain Networks. 1747-1758 - Nicolas Boëly, Ruxandra Mihaela Botez:
New Approach for the Identification and Validation of a Nonlinear F/A-18 Model by Use of Neural Networks. 1759-1765 - Bruno Gas:
Self-Organizing MultiLayer Perceptron. 1766-1779 - Daniel Le Ly, Paul Chow:
High-Performance Reconfigurable Hardware Architecture for Restricted Boltzmann Machines. 1780-1792 - Bogdan M. Wilamowski, Hao Yu:
Neural Network Learning Without Backpropagation. 1793-1803 - Min Wang, Shuzhi Sam Ge, Keum-Shik Hong:
Approximation-Based Adaptive Tracking Control of Pure-Feedback Nonlinear Systems With Multiple Unknown Time-Varying Delays. 1804-1816 - John J. Wade, L. J. McDaid, Jose A. Santos, Heather M. Sayers:
SWAT: A Spiking Neural Network Training Algorithm for Classification Problems. 1817-1830 - Enliang Hu, Songcan Chen, Daoqiang Zhang, Xuesong Yin:
Semisupervised Kernel Matrix Learning by Kernel Propagation. 1831-1841 - Hongyi Li, Huijun Gao, Peng Shi:
New Passivity Analysis for Neural Networks With Discrete and Distributed Delays. 1842-1847 - Yang Liu, Yan Liu, Keith C. C. Chan:
Tensor Distance Based Multilinear Locality-Preserved Maximum Information Embedding. 1848-1854
Volume 21, Number 12, December 2010
- Charalampos P. Bechlioulis, Zoe Doulgeri, George A. Rovithakis:
Neuro-Adaptive Force/Position Control With Prescribed Performance and Guaranteed Contact Maintenance. 1857-1868 - Roland Badeau, Nancy Bertin, Emmanuel Vincent:
Stability Analysis of Multiplicative Update Algorithms and Application to Nonnegative Matrix Factorization. 1869-1881 - Sheng-Sung Yang, Chia-Lu Ho, Sammy Siu:
Computing and Analyzing the Sensitivity of MLP Due to the Errors of the i.i.d. Inputs and Weights Based on CLT. 1882-1891 - Nikolay V. Manyakov, Rufin Vogels, Marc M. Van Hulle:
Decoding Stimulus-Reward Pairing From Local Field Potentials Recorded From Monkey Visual Cortex. 1892-1902 - Dung Duc Nguyen, Kazunori Matsumoto, Yasuhiro Takishima, Kazuo Hashimoto:
Condensed Vector Machines: Learning Fast Machine for Large Data. 1903-1914 - Ahmed M. Allam, Hazem M. Abbas:
On the Improvement of Neural Cryptography Using Erroneous Transmitted Information With Error Prediction. 1915-1924 - Grigorios Tzortzis, C. L. Likas:
Multiple View Clustering Using a Weighted Combination of Exemplar-Based Mixture Models. 1925-1938 - Igor N. Aizenberg:
Periodic Activation Function and a Modified Learning Algorithm for the Multivalued Neuron. 1939-1949 - Alexander F. Russell, Garrick Orchard, Yi Dong, Stefan Mihalas, Ernst Niebur, Jonathan Tapson, Ralph Etienne-Cummings:
Optimization Methods for Spiking Neurons and Networks. 1950-1962 - Zhouyu Fu, Antonio Robles-Kelly, Jun Zhou:
Mixing Linear SVMs for Nonlinear Classification. 1963-1975 - Zhimin Wang, Qing Song, Yeng Chai Soh, Kang Sim:
Robust Curve Clustering Based on a Multivariate t -Distribution Model. 1976-1984 - Isaac Triguero, Salvador García, Francisco Herrera:
IPADE: Iterative Prototype Adjustment for Nearest Neighbor Classification. 1984-1990 - S. Huh, D. Lee:
Linear Discriminant Analysis for Signatures. 1990-1996
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