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Mário A. T. Figueiredo
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- affiliation: Instituto de Telecomunicaçoes, Portugal
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2020 – today
- 2024
- [j79]André F. C. Gomes, Mário A. T. Figueiredo:
A Measure of Synergy Based on Union Information. Entropy 26(3): 271 (2024) - [j78]Ricardo Cardoso Pereira, Pedro Henriques Abreu, Pedro Pereira Rodrigues, Mário A. T. Figueiredo:
Imputation of data Missing Not at Random: Artificial generation and benchmark analysis. Expert Syst. Appl. 249: 123654 (2024) - [j77]Catarina Palma, Artur J. Ferreira, Mário A. T. Figueiredo:
Explainable Machine Learning for Malware Detection on Android Applications. Inf. 15(1): 25 (2024) - [j76]João Pandeirada, Miguel Bergano, Paulo A. C. Marques, Bruno Coelho, Domingos Barbosa, Mário A. T. Figueiredo:
ATLAS: Latest Advancements and First Observations. Remote. Sens. 16(4): 704 (2024) - [j75]Jean V. Alves, Diogo Leitão, Sérgio M. Jesus, Marco O. P. Sampaio, Javier Liébana, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro:
Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints. Trans. Mach. Learn. Res. 2024 (2024) - [c165]Ricardo Miguel de Oliveira Moreira, Jacopo Bono, Mário Cardoso, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro:
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation. CLeaR 2024: 740-768 - [c164]Artur J. Ferreira, Mário A. T. Figueiredo:
A Mutual Information Based Discretization-Selection Technique. ICPRAM 2024: 436-443 - [c163]Marina Ljubenovic, Mário A. T. Figueiredo, Arianna Traviglia:
Blind Deblurring of THz Time-Domain Images Based on Low-Rank Representation. VISIGRAPP (3): VISAPP 2024: 672-679 - [i58]Ricardo Moreira, Jacopo Bono, Mário Cardoso, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro:
DiConStruct: Causal Concept-based Explanations through Black-Box Distillation. CoRR abs/2401.08534 (2024) - [i57]Jean V. Alves, Diogo Leitão, Sérgio M. Jesus, Marco O. P. Sampaio, Javier Liébana, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro:
Cost-Sensitive Learning to Defer to Multiple Experts with Workload Constraints. CoRR abs/2403.06906 (2024) - [i56]André F. C. Gomes, Mário A. T. Figueiredo:
A Measure of Synergy based on Union Information. CoRR abs/2403.16575 (2024) - [i55]Margarida M. Campos, António Farinhas, Chrysoula Zerva, Mário A. T. Figueiredo, André F. T. Martins:
Conformal Prediction for Natural Language Processing: A Survey. CoRR abs/2405.01976 (2024) - [i54]Pedro Morão, João Santinha, Yasna Forghani, Nuno Loução, Pedro Gouveia, Mário A. T. Figueiredo:
Counterfactual MRI Data Augmentation using Conditional Denoising Diffusion Generative Models. CoRR abs/2410.23835 (2024) - 2023
- [j74]André F. C. Gomes, Mário A. T. Figueiredo:
Orders between Channels and Implications for Partial Information Decomposition. Entropy 25(7): 975 (2023) - [j73]Francisco L. Andrade, Mário A. T. Figueiredo, João Xavier:
Distributed Banach-Picard Iteration for Locally Contractive Maps. IEEE Trans. Autom. Control. 68(2): 1275-1280 (2023) - [j72]Francisco L. Andrade, Mário A. T. Figueiredo, João Xavier:
Distributed Banach-Picard Iteration: Application to Distributed Parameter Estimation and PCA. IEEE Trans. Signal Process. 71: 17-30 (2023) - [c162]Mário A. T. Figueiredo, Catarina A. Oliveira:
Distinguishing Cause from Effect on Categorical Data: The Uniform Channel Model. CLeaR 2023: 122-141 - [c161]Artur J. Ferreira, Mário A. T. Figueiredo:
Union k-Fold Feature Selection on Microarray Data. DATA 2023: 540-547 - [c160]Ricardo Cardoso Pereira, Pedro Pereira Rodrigues, Mário A. T. Figueiredo, Pedro Henriques Abreu:
Automatic Delta-Adjustment Method Applied to Missing Not At Random Imputation. ICCS (1) 2023: 481-493 - [c159]Mário A. T. Figueiredo:
Causal Discovery from Observation Data: Some Recent Advances. ICPRAM 2023: 9 - [c158]Artur J. Ferreira, Mário A. T. Figueiredo:
Leveraging Explainability with K-Fold Feature Selection. ICPRAM 2023: 458-465 - [i53]Mário A. T. Figueiredo, Catarina A. Oliveira:
Distinguishing Cause from Effect on Categorical Data: The Uniform Channel Model. CoRR abs/2303.08572 (2023) - [i52]José Pombal, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro:
Fairness-Aware Data Valuation for Supervised Learning. CoRR abs/2303.16963 (2023) - [i51]André F. C. Gomes, Mário A. T. Figueiredo:
Orders between channels and some implications for partial information decomposition. CoRR abs/2305.06021 (2023) - [i50]Arlindo L. Oliveira, Tiago Domingos, Mário A. T. Figueiredo, Pedro U. Lima:
DeepThought: An Architecture for Autonomous Self-motivated Systems. CoRR abs/2311.08547 (2023) - [i49]Jean V. Alves, Diogo Leitão, Sérgio M. Jesus, Marco O. P. Sampaio, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro:
FiFAR: A Fraud Detection Dataset for Learning to Defer. CoRR abs/2312.13218 (2023) - 2022
- [j71]João Pedro Araújo, Mário A. T. Figueiredo, Miguel Ayala Botto:
Control with adaptive Q-learning: A comparison for two classical control problems. Eng. Appl. Artif. Intell. 112: 104797 (2022) - [j70]André F. T. Martins, Marcos V. Treviso, António Farinhas, Pedro M. Q. Aguiar, Mário A. T. Figueiredo, Mathieu Blondel, Vlad Niculae:
Sparse Continuous Distributions and Fenchel-Young Losses. J. Mach. Learn. Res. 23: 257:1-257:74 (2022) - [c157]Gonçalo Rui Alves Faria, André F. T. Martins, Mário A. T. Figueiredo:
Differentiable Causal Discovery Under Latent Interventions. CLeaR 2022: 253-274 - [c156]Adara S. R. Nogueira, Artur J. Ferreira, Mário A. T. Figueiredo:
A Step Towards the Explainability of Microarray Data for Cancer Diagnosis with Machine Learning Techniques. ICPRAM 2022: 362-369 - [c155]João Santinha, Celso Matos, Nickolas Papanikolaou, Mário A. T. Figueiredo:
Improving Generalizability to Out-of-Distribution Data in Radiogenomic Models to Predict IDH Mutation Status in Glioma Patients. MeMeA 2022: 1-5 - [i48]Gonçalo Rui Alves Faria, André F. T. Martins, Mário A. T. Figueiredo:
Differentiable Causal Discovery Under Latent Interventions. CoRR abs/2203.02336 (2022) - [i47]José Pombal, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro:
Prisoners of Their Own Devices: How Models Induce Data Bias in Performative Prediction. CoRR abs/2206.13183 (2022) - [i46]Diogo Leitão, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro:
Human-AI Collaboration in Decision-Making: Beyond Learning to Defer. CoRR abs/2206.13202 (2022) - [i45]José Pombal, André Ferreira Cruz, João Bravo, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro:
Understanding Unfairness in Fraud Detection through Model and Data Bias Interactions. CoRR abs/2207.06273 (2022) - [i44]Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado Dias, Antonio G. Ravelo-García, Mário A. T. Figueiredo:
ProBoost: a Boosting Method for Probabilistic Classifiers. CoRR abs/2209.01611 (2022) - 2021
- [j69]Afonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Block-Gaussian-Mixture Priors for Hyperspectral Denoising and Inpainting. IEEE Trans. Geosci. Remote. Sens. 59(3): 2478-2486 (2021) - [c154]Artur J. Ferreira, Mário A. T. Figueiredo:
On the Improvement of Feature Selection Techniques: The Fitness Filter. ICPRAM 2021: 365-372 - [c153]Antonio Plaza, Jun Li, Mário A. T. Figueiredo:
An Overview of the Contributions of Jose Manuel Bioucas-Dias to Remote Sensing Image Processing. IGARSS 2021: 13-16 - [c152]João Bento, Pedro Saleiro, André Ferreira Cruz, Mário A. T. Figueiredo, Pedro Bizarro:
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations. KDD 2021: 2565-2573 - [i43]Francisco L. Andrade, Mário A. T. Figueiredo, João Xavier:
Distributed Picard Iteration. CoRR abs/2104.00131 (2021) - [i42]Francisco L. Andrade, Mário A. T. Figueiredo, João Xavier:
Distributed Picard Iteration: Application to Distributed EM and Distributed PCA. CoRR abs/2106.10665 (2021) - [i41]André F. T. Martins, Marcos V. Treviso, António Farinhas, Pedro M. Q. Aguiar, Mário A. T. Figueiredo, Mathieu Blondel, Vlad Niculae:
Sparse Continuous Distributions and Fenchel-Young Losses. CoRR abs/2108.01988 (2021) - 2020
- [j68]Joshin Krishnan, Mário A. T. Figueiredo, José M. Bioucas-Dias:
Class-Specific Interferometric Phase Estimation Using Patch-Based Importance Sampling. IEEE Access 8: 161052-161066 (2020) - [j67]Marek Smieja, Lukasz Struski, Mário A. T. Figueiredo:
A classification-based approach to semi-supervised clustering with pairwise constraints. Neural Networks 127: 193-203 (2020) - [c151]Guilherme G. P. Freitas Pires, Mário A. T. Figueiredo:
Variational MIxture of Normalizing Flows. ESANN 2020: 205-210 - [c150]Matilde Tristany, Sérgio Pequito, Pedro A. Santos, Mário A. T. Figueiredo:
Equilibrium Propagation for Complete Directed Neural Networks. ESANN 2020: 673-678 - [c149]Oumaima El Mansouri, Adrian Basarab, Mário A. T. Figueiredo, Denis Kouamé, Jean-Yves Tourneret:
Ultrasound And Magnetic Resonance Image Fusion Using A Patch-Wise Polynomial Model. ICIP 2020: 403-407 - [c148]Marek Smieja, Maciej Kolomycki, Lukasz Struski, Mateusz Juda, Mário A. T. Figueiredo:
Iterative Imputation of Missing Data Using Auto-Encoder Dynamics. ICONIP (3) 2020: 258-269 - [c147]André F. T. Martins, António Farinhas, Marcos V. Treviso, Vlad Niculae, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Sparse and Continuous Attention Mechanisms. NeurIPS 2020 - [c146]Jorge Pessoa, Helena Aidos, Pedro Tomás, Mário A. T. Figueiredo:
End-to-End Learning of Video Compression using Spatio-Temporal Autoencoders. SiPS 2020: 1-6 - [i40]Marek Smieja, Lukasz Struski, Mário A. T. Figueiredo:
A Classification-Based Approach to Semi-Supervised Clustering with Pairwise Constraints. CoRR abs/2001.06720 (2020) - [i39]Linda Bianchini, João Santinha, Nuno Loução, Mário A. T. Figueiredo, Francesca Botta, Daniela Origgi, Marta Cremonesi, Enrico Cassano, Nikolaos Papanikolaou, Alessandro Lascialfari:
A multicenter study on radiomic features from T2-weighted images of a customized MR pelvic phantom setting the basis for robust radiomic models in clinics. CoRR abs/2005.06833 (2020) - [i38]André F. T. Martins, Marcos V. Treviso, António Farinhas, Vlad Niculae, Mário A. T. Figueiredo, Pedro M. Q. Aguiar:
Sparse and Continuous Attention Mechanisms. CoRR abs/2006.07214 (2020) - [i37]Matilde Tristany, Sérgio Pequito, Pedro A. Santos, Mário A. T. Figueiredo:
Equilibrium Propagation for Complete Directed Neural Networks. CoRR abs/2006.08798 (2020) - [i36]João Pedro Araújo, Mário A. T. Figueiredo, Miguel Ayala Botto:
Single-partition adaptive Q-learning. CoRR abs/2007.06741 (2020) - [i35]Guilherme G. P. Freitas Pires, Mário A. T. Figueiredo:
Variational Mixture of Normalizing Flows. CoRR abs/2009.00585 (2020) - [i34]João Pedro Araújo, Mário A. T. Figueiredo, Miguel Ayala Botto:
Control with adaptive Q-learning. CoRR abs/2011.02141 (2020) - [i33]João Bento, Pedro Saleiro, André Ferreira Cruz, Mário A. T. Figueiredo, Pedro Bizarro:
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations. CoRR abs/2012.00073 (2020)
2010 – 2019
- 2019
- [j66]Joshin Krishnan, Mário A. T. Figueiredo, José M. Bioucas-Dias:
SURE-Fuse WFF: A Multi-Resolution Windowed Fourier Analysis for Interferometric Phase Denoising. IEEE Access 7: 120708-120723 (2019) - [j65]Marina Ljubenovic, Mário A. T. Figueiredo:
Plug-and-play approach to class-adapted blind image deblurring. Int. J. Document Anal. Recognit. 22(2): 79-97 (2019) - [j64]Afonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Image Restoration and Reconstruction using Targeted Plug-and-Play Priors. IEEE Trans. Computational Imaging 5(4): 675-686 (2019) - [j63]Lina Zhuang, Chia-Hsiang Lin, Mário A. T. Figueiredo, José M. Bioucas-Dias:
Regularization Parameter Selection in Minimum Volume Hyperspectral Unmixing. IEEE Trans. Geosci. Remote. Sens. 57(12): 9858-9877 (2019) - [j62]Afonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo:
A Convergent Image Fusion Algorithm Using Scene-Adapted Gaussian-Mixture-Based Denoising. IEEE Trans. Image Process. 28(1): 451-463 (2019) - [j61]Milad Niknejad, José M. Bioucas-Dias, Mário A. T. Figueiredo:
External Patch-Based Image Restoration Using Importance Sampling. IEEE Trans. Image Process. 28(9): 4460-4470 (2019) - [c145]João B. S. Carvalho, José-Maria Moreira, Mário A. T. Figueiredo, Nikolaos Papanikolaou:
Automatic Detection and Segmentation of Lung Lesions using Deep Residual CNNs. BIBE 2019: 977-983 - [c144]Catarina Barata, Mário A. T. Figueiredo, Jorge S. Marques:
Multiple Motion Fields for Multiple Types of Agents. ICIP 2019: 1287-1291 - 2018
- [j60]Manuele Bicego, Mário A. T. Figueiredo:
Clustering via binary embedding. Pattern Recognit. 83: 52-63 (2018) - [j59]Amirhossein Javaheri, Hadi Zayyani, Mário A. T. Figueiredo, Farrokh Marvasti:
Robust Sparse Recovery in Impulsive Noise via Continuous Mixed Norm. IEEE Signal Process. Lett. 25(8): 1146-1150 (2018) - [c143]Milad Niknejad, Mário A. T. Figueiredo:
Poisson Image Denoising Using Best Linear Prediction: a Post-Processing Framework. EUSIPCO 2018: 2230-2234 - [c142]Dejiao Zhang, Haozhu Wang, Mário A. T. Figueiredo, Laura Balzano:
Learning to Share: simultaneous parameter tying and Sparsification in Deep Learning. ICLR (Poster) 2018 - [c141]Dejiao Zhang, Julian Katz-Samuels, Mário A. T. Figueiredo, Laura Balzano:
Simultaneous Sparsity and Parameter Tying for Deep Learning Using Ordered Weighted ℓ1 Regularization. SSP 2018: 65-69 - [i32]Afonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Scene-Adapted Plug-and-Play Algorithm with Guaranteed Convergence: Applications to Data Fusion in Imaging. CoRR abs/1801.00605 (2018) - [i31]Milad Niknejad, Mário A. T. Figueiredo:
Poisson Image Denoising Using Best Linear Prediction: A Post-processing Framework. CoRR abs/1803.00389 (2018) - [i30]Amirhossein Javaheri, Hadi Zayyani, Mário A. T. Figueiredo, Farrokh Marvasti:
Impulsive Noise Robust Sparse Recovery via Continuous Mixed Norm. CoRR abs/1804.04614 (2018) - [i29]Milad Niknejad, José M. Bioucas-Dias, Mário A. T. Figueiredo:
External Patch-Based Image Restoration Using Importance Sampling. CoRR abs/1807.03018 (2018) - [i28]Milad Niknejad, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Image Restoration Using Conditional Random Fields and Scale Mixtures of Gaussians. CoRR abs/1807.03027 (2018) - [i27]Miguel Monteiro, Mário A. T. Figueiredo, Arlindo L. Oliveira:
Conditional Random Fields as Recurrent Neural Networks for 3D Medical Imaging Segmentation. CoRR abs/1807.07464 (2018) - 2017
- [j58]Matteo Denitto, Alessandro Farinelli, Mário A. T. Figueiredo, Manuele Bicego:
A biclustering approach based on factor graphs and the max-sum algorithm. Pattern Recognit. 62: 114-124 (2017) - [j57]Matteo Denitto, Manuele Bicego, Alessandro Farinelli, Mário A. T. Figueiredo:
Spike and slab biclustering. Pattern Recognit. 72: 186-195 (2017) - [c140]Zheng Xu, Mário A. T. Figueiredo, Tom Goldstein:
Adaptive ADMM with Spectral Penalty Parameter Selection. AISTATS 2017: 718-727 - [c139]Zheng Xu, Mário A. T. Figueiredo, Xiaoming Yuan, Christoph Studer, Tom Goldstein:
Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation. CVPR 2017: 7234-7243 - [c138]Afonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Sharpening Hyperspectral Images Using Spatial and Spectral Priors in a Plug-and-Play Algorithm. EMMCVPR 2017: 358-371 - [c137]Catarina Barata, Mário A. T. Figueiredo, M. Emre Celebi, Jorge S. Marques:
Local Features Applied to Dermoscopy Images: Bag-of-Features versus Sparse Coding. IbPRIA 2017: 528-536 - [c136]Afonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Sharpening Hyperspectral Images Using Plug-and-Play Priors. LVA/ICA 2017: 392-402 - [c135]Mário A. T. Figueiredo:
Synthesis versus analysis in patch-based image priors. ICASSP 2017: 1338-1342 - [c134]Matteo Denitto, Simone Melzi, Manuele Bicego, Umberto Castellani, Alessandro Farinelli, Mário A. T. Figueiredo, Yanir Kleiman, Maks Ovsjanikov:
Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering. ICCV 2017: 4270-4279 - [c133]Marina Ljubenovic, Lina Zhuang, Mário A. T. Figueiredo:
Class-Adapted Blind Deblurring of Document Images. ICDAR 2017: 721-726 - [c132]Marina Ljubenovic, Mário A. T. Figueiredo:
Blind image deblurring using class-adapted image priors. ICIP 2017: 490-494 - [c131]Milad Niknejad, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Class-specific image denoising using importance sampling. ICIP 2017: 1242-1246 - [c130]Milad Niknejad, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Class-specific poisson denoising by patch-based importance sampling. ICIP 2017: 1247-1251 - [c129]Zheng Xu, Gavin Taylor, Hao Li, Mário A. T. Figueiredo, Xiaoming Yuan, Tom Goldstein:
Adaptive Consensus ADMM for Distributed Optimization. ICML 2017: 3841-3850 - [c128]Telmo J. P. Pires, Mário A. T. Figueiredo:
Shape-based Trajectory Clustering. ICPRAM 2017: 71-81 - [c127]Afonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Scene-Adapted plug-and-play algorithm with convergence guarantees. MLSP 2017: 1-6 - [i26]Afonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Hyperspectral Sharpening using Scene-adapted Gaussian Mixture Priors. CoRR abs/1702.02445 (2017) - [i25]Mário A. T. Figueiredo:
Synthesis versus analysis in patch-based image priors. CoRR abs/1702.06085 (2017) - [i24]Zheng Xu, Mário A. T. Figueiredo, Xiaoming Yuan, Christoph Studer, Tom Goldstein:
Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation. CoRR abs/1704.02712 (2017) - [i23]Milad Niknejad, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Class-specific Poisson denoising by patch-based importance sampling. CoRR abs/1706.02867 (2017) - [i22]Zheng Xu, Gavin Taylor, Hao Li, Mário A. T. Figueiredo, Xiaoming Yuan, Tom Goldstein:
Adaptive Consensus ADMM for Distributed Optimization. CoRR abs/1706.02869 (2017) - [i21]Milad Niknejad, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Class-specific image denoising using importance sampling. CoRR abs/1706.06917 (2017) - [i20]Marina Ljubenovic, Mário A. T. Figueiredo:
Blind image deblurring using class-adapted image priors. CoRR abs/1709.01710 (2017) - 2016
- [c126]Mário A. T. Figueiredo, Robert D. Nowak:
Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects. AISTATS 2016: 930-938 - [c125]José M. Bioucas-Dias, Mário A. T. Figueiredo:
Bayesian image segmentation using hidden fields: Supervised, unsupervised, and semi-supervised formulations. EUSIPCO 2016: 523-527 - [c124]Afonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Image restoration and reconstruction using variable splitting and class-adapted image priors. ICIP 2016: 3518-3522 - [c123]Afonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Image restoration with locally selected class-adapted models. MLSP 2016: 1-6 - [i19]Afonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Image Restoration and Reconstruction using Variable Splitting and Class-adapted Image Priors. CoRR abs/1602.04052 (2016) - [i18]Afonso M. Teodoro, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Image Restoration with Locally Selected Class-Adapted Models. CoRR abs/1605.07003 (2016) - [i17]Zheng Xu, Mário A. T. Figueiredo, Tom Goldstein:
Adaptive ADMM with Spectral Penalty Parameter Selection. CoRR abs/1605.07246 (2016) - [i16]João Pedro Oliveira, Ana Bragança, José M. Bioucas-Dias, Mário A. T. Figueiredo, Luís Alcácer, Jorge Morgado, Quirina Ferreira:
Restoring STM images via Sparse Coding: noise and artifact removal. CoRR abs/1610.03437 (2016) - [i15]Zheng Xu, Soham De, Mário A. T. Figueiredo, Christoph Studer, Tom Goldstein:
An Empirical Study of ADMM for Nonconvex Problems. CoRR abs/1612.03349 (2016) - 2015
- [j56]Cláudia M. V. Silvestre, Margarida G. M. S. Cardoso, Mário A. T. Figueiredo:
Feature selection for clustering categorical data with an embedded modelling approach. Expert Syst. J. Knowl. Eng. 32(3): 444-453 (2015) - [j55]David Pereira Coutinho, Mário A. T. Figueiredo:
Text Classification Using Compression-Based Dissimilarity Measures. Int. J. Pattern Recognit. Artif. Intell. 29(5): 1553004:1-1553004:19 (2015) - [j54]André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing:
AD3: alternating directions dual decomposition for MAP inference in graphical models. J. Mach. Learn. Res. 16: 495-545 (2015) - [j53]André Lourenço, Samuel Rota Bulò, Nicola Rebagliati, Ana L. N. Fred, Mário A. T. Figueiredo, Marcello Pelillo:
Probabilistic consensus clustering using evidence accumulation. Mach. Learn. 98(1-2): 331-357 (2015) - [j52]Ana Portêlo, Mário A. T. Figueiredo, João Miranda Lemos, Jorge S. Marques:
Moving horizon estimation of pedestrian interactions using multiple velocity fields. Signal Image Video Process. 9(7): 1669-1677 (2015) - [c122]Marcelo Pereyra, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Maximum-a-posteriori estimation with unknown regularisation parameters. EUSIPCO 2015: 230-234 - [c121]Artur J. Ferreira, Mário A. T. Figueiredo:
Exploiting the Bin-Class Histograms for Feature Selection on Discrete Data. IbPRIA 2015: 345-353 - [c120]Afonso M. Teodoro, Mariana S. C. Almeida, Mário A. T. Figueiredo:
Single-frame Image Denoising and Inpainting Using Gaussian Mixtures. ICPRAM (2) 2015: 283-288 - [e5]Maria De Marsico, Mário A. T. Figueiredo, Ana L. N. Fred:
ICPRAM 2015 - Proceedings of the International Conference on Pattern Recognition Applications and Methods, Volume 1, Lisbon, Portugal, 10-12 January, 2015. SciTePress 2015, ISBN 978-989-758-076-5 [contents] - [e4]Maria De Marsico, Mário A. T. Figueiredo, Ana L. N. Fred:
ICPRAM 2015 - Proceedings of the International Conference on Pattern Recognition Applications and Methods, Volume 2, Lisbon, Portugal, 10-12 January, 2015. SciTePress 2015, ISBN 978-989-758-077-2 [contents] - [e3]Ana L. N. Fred, Maria De Marsico, Mário A. T. Figueiredo:
Pattern Recognition Applications and Methods - 4th International Conference, ICPRAM 2015, Lisbon, Portugal, January 10-12, 2015, Revised Selected Papers. Lecture Notes in Computer Science 9493, Springer 2015, ISBN 978-3-319-27676-2 [contents] - 2014
- [j51]Xiangrong Zeng, Mário A. T. Figueiredo:
Solving OSCAR regularization problems by fast approximate proximal splitting algorithms. Digit. Signal Process. 31: 124-135 (2014) - [j50]Anna C. Carli, Mário A. T. Figueiredo, Manuele Bicego, Vittorio Murino:
Generative embeddings based on Rician mixtures for kernel-based classification of magnetic resonance images. Neurocomputing 123: 49-59 (2014) - [j49]Artur J. Ferreira, Mário A. T. Figueiredo:
Incremental filter and wrapper approaches for feature discretization. Neurocomputing 123: 60-74 (2014) - [j48]Nuno Fachada, Mário A. T. Figueiredo, Vitor V. Lopes, Rui Costa Martins, Agostinho C. Rosa:
Spectrometric differentiation of yeast strains using minimum volume increase and minimum direction change clustering criteria. Pattern Recognit. Lett. 45: 55-61 (2014) - [j47]Xiangrong Zeng, Mário A. T. Figueiredo:
Decreasing Weighted Sorted ℓ1 Regularization. IEEE Signal Process. Lett. 21(10): 1240-1244 (2014) - [j46]João Pedro Oliveira, Mário A. T. Figueiredo, José M. Bioucas-Dias:
Parametric Blur Estimation for Blind Restoration of Natural Images: Linear Motion and Out-of-Focus. IEEE Trans. Image Process. 23(1): 466-477 (2014) - [c119]Xiangrong Zeng, Mário A. T. Figueiredo:
The atomic norm formulation of OSCAR regularization with application to the Frank-Wolfe algorithm. EUSIPCO 2014: 780-784 - [c118]Xiangrong Zeng, Mário A. T. Figueiredo:
Robust sparsity and clustering regularization for regression. EUSIPCO 2014: 1776-1780 - [c117]Mário A. T. Figueiredo:
Teaching a new trick to an old dog: Revisiting the quadratic programming formulation of sparse recovery using ADMM. ICASSP 2014: 1512-1516 - [c116]Catarina Barata, Mário A. T. Figueiredo, M. Emre Celebi, Jorge S. Marques:
Color identification in dermoscopy images using Gaussian mixture models. ICASSP 2014: 3611-3615 - [c115]Xiangrong Zeng, Mário A. T. Figueiredo:
Group-sparse matrix recovery. ICASSP 2014: 7153-7157 - [c114]Xiangrong Zeng, Mário A. T. Figueiredo:
Robust binary fused compressive sensing using adaptive outlier pursuit. ICASSP 2014: 7674-7678 - [c113]João Freitas, Artur J. Ferreira, Mário A. T. Figueiredo, António J. S. Teixeira, Miguel Sales Dias:
Enhancing multimodal silent speech interfaces with feature selection. INTERSPEECH 2014: 1169-1173 - [i14]Xiangrong Zeng, Mário A. T. Figueiredo:
Exploiting Two-Dimensional Group Sparsity in 1-Bit Compressive Sensing. CoRR abs/1402.5073 (2014) - [i13]Xiangrong Zeng, Mário A. T. Figueiredo:
Binary Fused Compressive Sensing: 1-Bit Compressive Sensing meets Group Sparsity. CoRR abs/1402.5074 (2014) - [i12]Xiangrong Zeng, Mário A. T. Figueiredo:
Robust Binary Fused Compressive Sensing using Adaptive Outlier Pursuit. CoRR abs/1402.5076 (2014) - [i11]Xiangrong Zeng, Mário A. T. Figueiredo:
Group-sparse Matrix Recovery. CoRR abs/1402.5077 (2014) - [i10]Xiangrong Zeng, Mário A. T. Figueiredo:
Decreasing Weighted Sorted ℓ1 Regularization. CoRR abs/1404.3184 (2014) - [i9]Xiangrong Zeng, Mário A. T. Figueiredo:
The Ordered Weighted ℓ1 Norm: Atomic Formulation, Dual Norm, and Projections. CoRR abs/1409.4271 (2014) - 2013
- [j45]David Pereira Coutinho, Hugo Silva, Hugo Gamboa, Ana L. N. Fred, Mário A. T. Figueiredo:
Novel fiducial and non-fiducial approaches to electrocardiogram-based biometric systems. IET Biom. 2(2): 64-75 (2013) - [j44]Manuele Bicego, Aydin Ulas, Umberto Castellani, Alessandro Perina, Vittorio Murino, André F. T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Combining information theoretic kernels with generative embeddings for classification. Neurocomputing 101: 161-169 (2013) - [j43]Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques:
Activity Recognition Using a Mixture of Vector Fields. IEEE Trans. Image Process. 22(5): 1712-1725 (2013) - [j42]Mariana S. C. Almeida, Mário A. T. Figueiredo:
Parameter Estimation for Blind and Non-Blind Deblurring Using Residual Whiteness Measures. IEEE Trans. Image Process. 22(7): 2751-2763 (2013) - [j41]Mariana S. C. Almeida, Mário A. T. Figueiredo:
Deconvolving Images With Unknown Boundaries Using the Alternating Direction Method of Multipliers. IEEE Trans. Image Process. 22(8): 3074-3086 (2013) - [c112]Cláudia M. V. Silvestre, Margarida Cardoso, Mário A. T. Figueiredo:
Clustering and Selecting Categorical Features. EPIA 2013: 331-342 - [c111]André Lourenço, Samuel Rota Bulò, Nicola Rebagliati, Ana L. N. Fred, Mário A. T. Figueiredo, Marcello Pelillo:
Consensus Clustering Using Partial Evidence Accumulation. IbPRIA 2013: 69-78 - [c110]Artur J. Ferreira, Mário A. T. Figueiredo:
An Incremental Bit Allocation Strategy for Supervised Feature Discretization. IbPRIA 2013: 526-534 - [c109]Mariana S. C. Almeida, Mário A. T. Figueiredo:
Frame-based image deblurring with unknown boundary conditions using the alternating direction method of multipliers. ICIP 2013: 582-585 - [c108]Mariana S. C. Almeida, Mário A. T. Figueiredo:
Blind image deblurring with unknown boundaries using the alternating direction method of multipliers. ICIP 2013: 586-590 - [c107]André Lourenço, Samuel Rota Bulò, Nicola Rebagliati, Ana L. N. Fred, Mário A. T. Figueiredo, Marcello Pelillo:
Probabilistic Evidence Accumulation for Clustering Ensembles. ICPRAM 2013: 58-67 - [c106]Artur J. Ferreira, Mário A. T. Figueiredo:
Relevance and Mutual Information-based Feature Discretization. ICPRAM 2013: 68-77 - [c105]André Lourenço, Samuel Rota Bulò, Nicola Rebagliati, Ana L. N. Fred, Mário A. T. Figueiredo, Marcello Pelillo:
A MAP Approach to Evidence Accumulation Clustering. ICPRAM (Selected Papers) 2013: 85-100 - [c104]Artur J. Ferreira, Mário A. T. Figueiredo:
Feature Discretization with Relevance and Mutual Information Criteria. ICPRAM (Selected Papers) 2013: 101-118 - [c103]David Pereira Coutinho, Mário A. T. Figueiredo:
An Information Theoretic Approach to Text Sentiment Analysis. ICPRAM 2013: 577-580 - [c102]Mário A. T. Figueiredo:
Alternating Direction Optimization for Imaging and Machine Learning Problems. ICPRAM 2013: IS-9 - [c101]Ana Portêlo, Sandra Pacheco, Mário A. T. Figueiredo, João Miranda Lemos, Jorge S. Marques:
Moving Horizon Estimation of Pedestrian Interactions Based on Multiple Velocity Fields. ISVC (2) 2013: 475-483 - [c100]Ana Portêlo, Ricardo A. Ribeiro, Mário A. T. Figueiredo, João Miranda Lemos, Jorge S. Marques:
A velocity field approach to the detection of pedestrian interactions. MED 2013: 1603-1608 - [p2]Pedro M. Q. Aguiar, Manuele Bicego, Umberto Castellani, Mário A. T. Figueiredo, André F. T. Martins, Vittorio Murino, Alessandro Perina, Aydin Ulas:
On the Combination of Information-Theoretic Kernels with Generative Embeddings. Similarity-Based Pattern Analysis and Recognition 2013: 67-83 - [p1]Ana L. N. Fred, André Lourenço, Helena Aidos, Samuel Rota Bulò, Nicola Rebagliati, Mário A. T. Figueiredo, Marcello Pelillo:
Learning Similarities from Examples Under the Evidence Accumulation Clustering Paradigm. Similarity-Based Pattern Analysis and Recognition 2013: 85-117 - [i8]Xiangrong Zeng, Mário A. T. Figueiredo:
Solving OSCAR regularization problems by proximal splitting algorithms. CoRR abs/1309.6301 (2013) - [i7]Xiangrong Zeng, Mário A. T. Figueiredo:
A novel sparsity and clustering regularization. CoRR abs/1310.4945 (2013) - 2012
- [j40]André Valério Carreiro, Artur J. Ferreira, Mário A. T. Figueiredo, Sara Cordeiro Madeira:
Towards a Classification Approach using Meta-Biclustering: Impact of Discretization in the Analysis of Expression Time Series. J. Integr. Bioinform. 9(3) (2012) - [j39]Artur J. Ferreira, Mário A. T. Figueiredo:
An unsupervised approach to feature discretization and selection. Pattern Recognit. 45(9): 3048-3060 (2012) - [j38]Artur J. Ferreira, Mário A. T. Figueiredo:
Efficient feature selection filters for high-dimensional data. Pattern Recognit. Lett. 33(13): 1794-1804 (2012) - [c99]Mário A. T. Figueiredo, José M. Bioucas-Dias:
Algorithms for imaging inverse problems under sparsity regularization. CIP 2012: 1-6 - [c98]Artur J. Ferreira, Mário A. T. Figueiredo:
A Dynamic Wrapper Method for Feature Discretization and Selection. ICPRAM (1) 2012: 103-112 - [c97]Anna C. Carli, Mário A. T. Figueiredo, Manuele Bicego, Vittorio Murino:
Generative Embeddings based on Rician Mixtures - Application to Kernel-based Discriminative Classification of Magnetic Resonance Images. ICPRAM (1) 2012: 113-122 - [c96]André F. T. Martins, Mário A. T. Figueiredo, Noah A. Smith:
Structured Sparsity in Natural Language Processing: Models, Algorithms and Applications. HLT-NAACL 2012 - [c95]André Valério Carreiro, Artur J. Ferreira, Mário A. T. Figueiredo, Sara C. Madeira:
Prognostic Prediction Using Clinical Expression Time Series: Towards a Supervised Learning Approach Based on Meta-biclusters. PACBB 2012: 11-20 - [i6]Mariana S. C. Almeida, Mário A. T. Figueiredo:
Deconvolving Images with Unknown Boundaries Using the Alternating Direction Method of Multipliers. CoRR abs/1210.2687 (2012) - [i5]André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing:
Alternating Directions Dual Decomposition. CoRR abs/1212.6550 (2012) - 2011
- [j37]Manya V. Afonso, José M. Bioucas-Dias, Mário A. T. Figueiredo:
An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems. IEEE Trans. Image Process. 20(3): 681-695 (2011) - [c94]David Pereira Coutinho, Ana L. N. Fred, Mário A. T. Figueiredo:
ECG-based Continuous Authentication System using Adaptive String Matching. BIOSIGNALS 2011: 354-359 - [c93]Artur J. Ferreira, Arlindo L. Oliveira, Mário A. T. Figueiredo:
Sliding Window Update Using Suffix Arrays. DCC 2011: 456 - [c92]André F. T. Martins, Noah A. Smith, Mário A. T. Figueiredo, Pedro M. Q. Aguiar:
Dual Decomposition with Many Overlapping Components. EMNLP 2011: 238-249 - [c91]André F. T. Martins, Noah A. Smith, Mário A. T. Figueiredo, Pedro M. Q. Aguiar:
Structured Sparsity in Structured Prediction. EMNLP 2011: 1500-1511 - [c90]Artur J. Ferreira, Mário A. T. Figueiredo:
Unsupervised feature selection for sparse data. ESANN 2011 - [c89]Manya V. Afonso, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Non-cyclic deconvolution using an augmented lagrangian method. EUROCON 2011: 1-4 - [c88]Artur J. Ferreira, Mário A. T. Figueiredo:
Efficient unsupervised feature selection for sparse data. EUROCON 2011: 1-4 - [c87]Artur J. Ferreira, Mário A. T. Figueiredo:
Unsupervised Joint Feature Discretization and Selection. IbPRIA 2011: 200-207 - [c86]Jorge S. Marques, João Miranda Lemos, Mário A. T. Figueiredo, Jacinto C. Nascimento, Miguel Barão:
Trajectory Analysis Using Switched Motion Fields: A Parametric Approach. IbPRIA 2011: 420-427 - [c85]Artur J. Ferreira, Mário A. T. Figueiredo:
Feature Discretization and Selection in Microarray Data. KDIR 2011: 465-469 - [c84]Jacinto C. Nascimento, Jorge S. Marques, Mário A. T. Figueiredo:
Discriminative model selection using a modified Bayesian criterion: Application to trajectory modeling. ICIP 2011: 1429-1432 - [c83]Jorge S. Marques, Mário A. T. Figueiredo:
Image super-segmentation: Segmentation with multiple labels from shuffled observations. ICIP 2011: 2849-2852 - [c82]André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing:
An Augmented Lagrangian Approach to Constrained MAP Inference. ICML 2011: 169-176 - [c81]Jorge S. Marques, Mário A. T. Figueiredo:
Fast estimation of multiple vector fields: Application to video surveillance. ISPA 2011: 277-282 - [c80]Manuele Bicego, Aydin Ulas, Peter J. Schüffler, Umberto Castellani, Vittorio Murino, André F. T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Renal Cancer Cell Classification Using Generative Embeddings and Information Theoretic Kernels. PRIB 2011: 75-86 - [c79]André Lourenço, Ana L. N. Fred, Mário A. T. Figueiredo:
A Generative Dyadic Aspect Model for Evidence Accumulation Clustering. SIMBAD 2011: 104-116 - [c78]Marta B. Lopes, José M. Bioucas-Dias, Mário A. T. Figueiredo, Jean-Claude Wolff, Nisha Mistry, John Warrack:
Comparison of near infrared and Raman hyperspectral unmixing performances for chemical identification of pharmaceutical tablets. WHISPERS 2011: 1-4 - [c77]André Filipe Torres Martins, Noah A. Smith, Eric P. Xing, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Online Learning of Structured Predictors with Multiple Kernels. AISTATS 2011: 507-515 - 2010
- [j36]Rick Chartrand, Richard G. Baraniuk, Yonina C. Eldar, Mário A. T. Figueiredo, Jared Tanner:
Introduction to the Issue on Compressive Sensing. IEEE J. Sel. Top. Signal Process. 4(2): 241-243 (2010) - [j35]Michael Elad, Mário A. T. Figueiredo, Yi Ma:
On the Role of Sparse and Redundant Representations in Image Processing. Proc. IEEE 98(6): 972-982 (2010) - [j34]Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques:
Trajectory Classification Using Switched Dynamical Hidden Markov Models. IEEE Trans. Image Process. 19(5): 1338-1348 (2010) - [j33]José M. Bioucas-Dias, Mário A. T. Figueiredo:
Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization. IEEE Trans. Image Process. 19(7): 1720-1730 (2010) - [j32]Manya V. Afonso, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Fast Image Recovery Using Variable Splitting and Constrained Optimization. IEEE Trans. Image Process. 19(9): 2345-2356 (2010) - [j31]Mário A. T. Figueiredo, José M. Bioucas-Dias:
Restoration of Poissonian Images Using Alternating Direction Optimization. IEEE Trans. Image Process. 19(12): 3133-3145 (2010) - [c76]André F. T. Martins, Noah A. Smith, Eric P. Xing, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Turbo Parsers: Dependency Parsing by Approximate Variational Inference. EMNLP 2010: 34-44 - [c75]Manya V. Afonso, José M. Bioucas-Dias, Mário A. T. Figueiredo:
A fast algorithm for the constrained formulation of compressive image reconstruction and other linear inverse problems. ICASSP 2010: 4034-4037 - [c74]Manuele Bicego, Alessandro Perina, Vittorio Murino, André F. T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Combining free energy score spaces with information theoretic kernels: Application to scene classification. ICIP 2010: 2661-2664 - [c73]Jacinto C. Nascimento, Jorge S. Marques, Mário A. T. Figueiredo:
Classification of complex pedestrian activities from trajectories. ICIP 2010: 3481-3484 - [c72]Mário A. T. Figueiredo, José M. Bioucas-Dias:
Frame-based deconvolution of Poissonian images using alternating direction optimization. ICIP 2010: 3549-3552 - [c71]Jacinto C. Nascimento, Jorge S. Marques, Mário A. T. Figueiredo:
Discriminative model selection for object motion recognition. ICIP 2010: 3953-3956 - [c70]Manya V. Afonso, José M. Bioucas-Dias, Mário A. T. Figueiredo:
An augmented Lagrangian approach to linear inverse problems with compound regularization. ICIP 2010: 4169-4172 - [c69]Manuele Bicego, André Filipe Torres Martins, Vittorio Murino, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
2D Shape Recognition Using Information Theoretic Kernels. ICPR 2010: 25-28 - [c68]David Pereira Coutinho, Ana L. N. Fred, Mário A. T. Figueiredo:
One-Lead ECG-based Personal Identification Using Ziv-Merhav Cross Parsing. ICPR 2010: 3858-3861 - [c67]David Pereira Coutinho, Ana L. N. Fred, Mário A. T. Figueiredo:
Personal Identification and Authentication based on One-lead ECG using Ziv-Merhav Cross Parsing. PRIS 2010: 15-24 - [c66]Artur J. Ferreira, Mário A. T. Figueiredo:
Feature Transformation and Reduction for Text Classification. PRIS 2010: 72-81 - [c65]André F. T. Martins, Manuele Bicego, Vittorio Murino, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models. SSPR/SPR 2010: 463-472 - [c64]José M. Bioucas-Dias, Mário A. T. Figueiredo:
Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing. WHISPERS 2010: 1-4
2000 – 2009
- 2009
- [j30]André F. T. Martins, Noah A. Smith, Eric P. Xing, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Nonextensive Information Theoretic Kernels on Measures. J. Mach. Learn. Res. 10: 935-975 (2009) - [j29]Manuele Bicego, Mário A. T. Figueiredo:
Soft clustering using weighted one-class support vector machines. Pattern Recognit. 42(1): 27-32 (2009) - [j28]João Pedro Oliveira, José M. Bioucas-Dias, Mário A. T. Figueiredo:
Adaptive total variation image deblurring: A majorization-minimization approach. Signal Process. 89(9): 1683-1693 (2009) - [j27]Stephen J. Wright, Robert D. Nowak, Mário A. T. Figueiredo:
Sparse reconstruction by separable approximation. IEEE Trans. Signal Process. 57(7): 2479-2493 (2009) - [c63]Artur J. Ferreira, Arlindo L. Oliveira, Mário A. T. Figueiredo:
On the Use of Suffix Arrays for Memory-Efficient Lempel-Ziv Data Compression. DCC 2009: 444 - [c62]Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques:
Trajectory Modeling Using Mixtures of Vector Fields. IbPRIA 2009: 40-47 - [c61]Cláudia M. V. Silvestre, Margarida Cardoso, Mário A. T. Figueiredo:
Selecting Categorical Features in Model-based Clustering. KDIR 2009: 303-306 - [c60]José M. Bioucas-Dias, Mário A. T. Figueiredo:
Total variation restoration of speckled images using a split-bregman algorithm. ICIP 2009: 3717-3720 - [c59]Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques:
Trajectory analysis in natural images using mixtures of vector fields. ICIP 2009: 4353-4356 - [c58]Marta B. Lopes, José M. Bioucas-Dias, Mário A. T. Figueiredo, Jean-Claude Wolff:
Spectral unmixing via minimum volume simplices: Application to near infrared spectra of counterfeit tablets. WHISPERS 2009: 1-4 - [i4]Artur J. Ferreira, Arlindo L. Oliveira, Mário A. T. Figueiredo:
On the Use of Suffix Arrays for Memory-Efficient Lempel-Ziv Data Compression. CoRR abs/0903.4251 (2009) - [i3]Artur J. Ferreira, Arlindo L. Oliveira, Mário A. T. Figueiredo:
Time and Memory Efficient Lempel-Ziv Compression Using Suffix Arrays. CoRR abs/0912.5449 (2009) - 2008
- [j26]Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques:
Independent increment processes for human motion recognition. Comput. Vis. Image Underst. 109(2): 126-138 (2008) - [j25]Michael G. Rabbat, Mário A. T. Figueiredo, Robert D. Nowak:
Network Inference From Co-Occurrences. IEEE Trans. Inf. Theory 54(9): 4053-4068 (2008) - [c57]Stephen J. Wright, Robert D. Nowak, Mário A. T. Figueiredo:
Sparse reconstruction by separable approximation. ICASSP 2008: 3373-3376 - [c56]Artur J. Ferreira, Arlindo L. Oliveira, Mário A. T. Figueiredo:
On the Suitability of Suffix Arrays for Lempel-Ziv Data Compression. ICETE (Selected Papers) 2008: 267-280 - [c55]José M. Bioucas-Dias, Mário A. T. Figueiredo:
An iterative algorithm for linear inverse problems with compound regularizers. ICIP 2008: 685-688 - [c54]Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques:
Unsupervised learning of motion patterns using generative models. ICIP 2008: 761-764 - [c53]André F. T. Martins, Mário A. T. Figueiredo, Pedro M. Q. Aguiar, Noah A. Smith, Eric P. Xing:
Nonextensive entropic kernels. ICML 2008: 640-647 - [c52]André F. T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Tsallis kernels on measures. ITW 2008: 298-302 - [c51]David Pereira Coutinho, Mário A. T. Figueiredo:
Information Theoretic Text Classification Methods Evaluation. PRIS 2008: 77-85 - [c50]Artur J. Ferreira, Arlindo L. Oliveira, Mário A. T. Figueiredo:
Suffix Arrays - A Competitive Choice for Fast Lempel-Ziv Compressions. SIGMAP 2008: 5-12 - [i2]André F. T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Nonextensive Generalizations of the Jensen-Shannon Divergence. CoRR abs/0804.1653 (2008) - 2007
- [j24]Mário A. T. Figueiredo, Robert D. Nowak, Stephen J. Wright:
Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems. J. Sel. Topics Signal Processing 1(4): 586-597 (2007) - [j23]Mário A. T. Figueiredo, José M. Bioucas-Dias, Robert D. Nowak:
Majorization-Minimization Algorithms for Wavelet-Based Image Restoration. IEEE Trans. Image Process. 16(12): 2980-2991 (2007) - [j22]José M. Bioucas-Dias, Mário A. T. Figueiredo:
A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration. IEEE Trans. Image Process. 16(12): 2992-3004 (2007) - [c49]Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques:
On-Line Classification of Human Activities. IbPRIA (2) 2007: 444-451 - [c48]João Pedro Oliveira, Mário A. T. Figueiredo, José M. Bioucas-Dias:
Blind Estimation of Motion Blur Parameters for Image Deconvolution. IbPRIA (2) 2007: 604-611 - [c47]Michael G. Rabbat, Mário A. T. Figueiredo, Robert D. Nowak:
Genomic Network Tomography. ICASSP (1) 2007: 373-376 - [c46]Dong Seon Cheng, Mário A. T. Figueiredo:
Cosegmentation for Image Sequences. ICIAP 2007: 635-640 - [c45]José M. Bioucas-Dias, Mário A. T. Figueiredo:
Two-Step Algorithms for Linear Inverse Problems with Non-Quadratic Regularization. ICIP (1) 2007: 105-108 - [c44]Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques:
Semi-Supervised Learning of Switched Dynamical Models for Classification of Human Activities in Surveillance Applications. ICIP (3) 2007: 197-200 - [c43]Mário A. T. Figueiredo:
Semi-Supervised and Active Learning. PRIS 2007: 9 - 2006
- [j21]Artur J. Ferreira, Mário A. T. Figueiredo:
On the use of independent component analysis for image compression. Signal Process. Image Commun. 21(5): 378-389 (2006) - [c42]Artur J. Ferreira, Mário A. T. Figueiredo:
Hybrid generative/discriminative training of radial basis function networks. ESANN 2006: 599-604 - [c41]José M. Bioucas-Dias, Mário A. T. Figueiredo, João Pedro Oliveira:
Adaptive total variation image deconvolution: A majorization-minimization approach. EUSIPCO 2006: 1-4 - [c40]Mário A. T. Figueiredo:
Semi-Supervised Clustering: Application to Image Segmentation. GfKl 2006: 39-50 - [c39]José M. Bioucas-Dias, Mário A. T. Figueiredo, João Pedro Oliveira:
Total Variation-Based Image Deconvolution: a Majorization-Minimization Approach. ICASSP (2) 2006: 861-864 - [c38]Mário A. T. Figueiredo, José M. Bioucas-Dias, João Pedro Oliveira, Robert D. Nowak:
On Total Variation Denoising: A New Majorization-Minimization Algorithm and an Experimental Comparisonwith Wavalet Denoising. ICIP 2006: 2633-2636 - [c37]Mário A. T. Figueiredo:
On Semi-supervised Learning. MRCS 2006: 602 - [c36]Mário A. T. Figueiredo, Dong Seon Cheng, Vittorio Murino:
Clustering Under Prior Knowledge with Application to Image Segmentation. NIPS 2006: 401-408 - [c35]Michael G. Rabbat, Mário A. T. Figueiredo, Robert D. Nowak:
Inferring Network Structure from Co-Occurrences. NIPS 2006: 1105-1112 - [i1]Michael G. Rabbat, Mário A. T. Figueiredo, Robert D. Nowak:
Network Inference from Co-Occurrences. CoRR abs/cs/0605100 (2006) - 2005
- [j20]André F. T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Orientation in Manhattan: Equiprojective Classes and Sequential Estimation. IEEE Trans. Pattern Anal. Mach. Intell. 27(5): 822-826 (2005) - [j19]Balaji Krishnapuram, Lawrence Carin, Mário A. T. Figueiredo, Alexander J. Hartemink:
Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds. IEEE Trans. Pattern Anal. Mach. Intell. 27(6): 957-968 (2005) - [c34]Mário A. T. Figueiredo:
Bayesian Image Segmentation Using Wavelet-Based Priors. CVPR (1) 2005: 437-443 - [c33]Mário A. T. Figueiredo:
Bayesian Image Segmentation Using Gaussian Field Priors. EMMCVPR 2005: 74-89 - [c32]David Pereira Coutinho, Mário A. T. Figueiredo:
Information Theoretic Text Classification Using the Ziv-Merhav Method. IbPRIA (2) 2005: 355-362 - [c31]Pedro Latorre-Carmona, Guillermo Peris-Fajarnés, Mário A. T. Figueiredo:
Image Segmentation for the Application of the Neugebauer Colour Prediction Model on Inkjet Printed Ceramic Tiles. ICIAR 2005: 9-16 - [c30]Mário A. T. Figueiredo, Robert D. Nowak:
A bound optimization approach to wavelet-based image deconvolution. ICIP (2) 2005: 782-785 - [c29]Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques:
Recognition of human activities using space dependent switched dynamical models. ICIP (3) 2005: 852-855 - 2004
- [j18]Mário A. T. Figueiredo, Edwin R. Hancock, Marcello Pelillo, Josiane Zerubia:
Guest Editors' Introduction to the Special Section on Energy Minimization Methods in Computer Vision and Pattern Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 26(2): 145-146 (2004) - [j17]Balaji Krishnapuram, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo:
A Bayesian Approach to Joint Feature Selection and Classifier Design. IEEE Trans. Pattern Anal. Mach. Intell. 26(9): 1105-1111 (2004) - [j16]Martin H. C. Law, Mário A. T. Figueiredo, Anil K. Jain:
Simultaneous Feature Selection and Clustering Using Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. 26(9): 1154-1166 (2004) - [j15]Manuele Bicego, Vittorio Murino, Mário A. T. Figueiredo:
Similarity-based classification of sequences using hidden Markov models. Pattern Recognit. 37(12): 2281-2291 (2004) - [j14]Meir Feder, Mário A. T. Figueiredo, Alfred O. Hero III, Chin-Hui Lee, Hans-Andrea Loeliger, Robert D. Nowak, Andrew C. Singer, Bin Yu:
Guest Editorial: Special Issue on Machine Learning Methods in Signal Processing. IEEE Trans. Signal Process. 52(8): 2152 (2004) - [c28]Céu L. Beirão, Mário A. T. Figueiredo:
Defect Detection in Textile Images Using Gabor Filters. ICIAR (2) 2004: 841-848 - [c27]Balaji Krishnapuram, David Williams, Ya Xue, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo:
On Semi-Supervised Classification. NIPS 2004: 721-728 - 2003
- [j13]Mário A. T. Figueiredo:
Adaptive Sparseness for Supervised Learning. IEEE Trans. Pattern Anal. Mach. Intell. 25(9): 1150-1159 (2003) - [j12]Mário A. T. Figueiredo, Edwin R. Hancock, Marcello Pelillo, Josiane Zerubia:
Guest Editors' Introduction to the Special Section on Energy Minimization Methods in Computer Vision and Pattern Recognition. IEEE Trans. Pattern Anal. Mach. Intell. 25(11): 1361-1363 (2003) - [j11]Manuele Bicego, Vittorio Murino, Mário A. T. Figueiredo:
A sequential pruning strategy for the selection of the number of states in hidden Markov models. Pattern Recognit. Lett. 24(9-10): 1395-1407 (2003) - [j10]Mário A. T. Figueiredo, Robert D. Nowak:
An EM algorithm for wavelet-based image restoration. IEEE Trans. Image Process. 12(8): 906-916 (2003) - [c26]Mário A. T. Figueiredo, Anil K. Jain, Martin H. C. Law:
A Feature Selection Wrapper for Mixtures. IbPRIA 2003: 229-237 - [c25]André F. T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo:
Navigating in Manhattan: 3D orientation from video without correspondences. ICIP (1) 2003: 285-288 - [c24]Artur J. Ferreira, Mário A. T. Figueiredo:
Class-adapted image compression using independent component analysis. ICIP (1) 2003: 625-628 - [c23]Sandra V. B. Jardim, Mário A. T. Figueiredo:
Automatic contour estimation in fetal ultrasound images. ICIP (2) 2003: 1065-1068 - [c22]Manuele Bicego, Vittorio Murino, Mário A. T. Figueiredo:
Similarity-Based Clustering of Sequences Using Hidden Markov Models. MLDM 2003: 86-95 - [c21]Artur J. Ferreira, Mário A. T. Figueiredo:
Image compression using orthogonalized independent components bases. NNSP 2003: 689-698 - [e2]Anand Rangarajan, Mário A. T. Figueiredo, Josiane Zerubia:
Energy Minimization Methods in Computer Vision and Pattern Recognition, 4th International Workshop, EMMCVPR 2003, Lisbon, Portugal, July 7-9, 2003, Proceedings. Lecture Notes in Computer Science 2683, Springer 2003, ISBN 3-540-40498-8 [contents] - 2002
- [j9]Mário A. T. Figueiredo, Anil K. Jain:
Unsupervised Learning of Finite Mixture Models. IEEE Trans. Pattern Anal. Mach. Intell. 24(3): 381-396 (2002) - [c20]Mário A. T. Figueiredo, Robert D. Nowak:
Wavelet-based adaptive image deconvolution. ICASSP 2002: 1685-1688 - [c19]André Jalobeanu, Robert D. Nowak, Josiane Zerubia, Mário A. T. Figueiredo:
Satellite and aerial image deconvolution using an EM method with complex wavelets. ICIP (1) 2002: 333-336 - [c18]Robert D. Nowak, Mário A. T. Figueiredo:
Image restoration under wavelet-domain priors: an expectation-maximization approach. ICIP (1) 2002: 337-340 - [c17]Martin H. C. Law, Anil K. Jain, Mário A. T. Figueiredo:
Feature Selection in Mixture-Based Clustering. NIPS 2002: 625-632 - 2001
- [j8]Aditya Vailaya, Mário A. T. Figueiredo, Anil K. Jain, HongJiang Zhang:
Image classification for content-based indexing. IEEE Trans. Image Process. 10(1): 117-130 (2001) - [j7]Mário A. T. Figueiredo, Robert D. Nowak:
Wavelet-based image estimation: an empirical Bayes approach using Jeffrey's noninformative prior. IEEE Trans. Image Process. 10(9): 1322-1331 (2001) - [c16]Mário A. T. Figueiredo, Anil K. Jain:
Bayesian Learning of Sparse Classifiers. CVPR (1) 2001: 35-41 - [c15]Unoma Ndili, Robert D. Nowak, Mário A. T. Figueiredo:
Coding theoretic approach to image segmentation. ICIP (3) 2001: 78-81 - [c14]Mário A. T. Figueiredo:
Adaptive Sparseness Using Jeffreys Prior. NIPS 2001: 697-704 - [e1]Mário A. T. Figueiredo, Josiane Zerubia, Anil K. Jain:
Energy Minimization Methods in Computer Vision and Pattern Recognition, Third International Workshop, EMMCVPR 2001, Sophia Antipolis, France, September 3-5, 2001, Proceedings. Lecture Notes in Computer Science 2134, Springer 2001, ISBN 3-540-42523-3 [contents] - 2000
- [j6]Mário A. T. Figueiredo, José M. N. Leitão, Anil K. Jain:
Unsupervised contour representation and estimation using B-splines and a minimum description length criterion. IEEE Trans. Image Process. 9(6): 1075-1087 (2000) - [c13]Mário A. T. Figueiredo, Anil K. Jain:
Unsupervised Selection and Estimation of Finite Mixture Models. ICPR 2000: 2087-2090 - [c12]Mário A. T. Figueiredo:
On Gaussian Radial Basis Function Approximations: Interpretation, Extensions, and Learning Strategies. ICPR 2000: 2618-2621 - [c11]Robert D. Nowak, Mário A. T. Figueiredo:
Unsupervised Segmentation of Poisson Data. ICPR 2000: 3159-3162
1990 – 1999
- 1999
- [c10]Mário A. T. Figueiredo, José M. N. Leitão, Anil K. Jain:
On Fitting Mixture Models. EMMCVPR 1999: 54-69 - [c9]Robert D. Nowak, Mário A. T. Figueiredo:
Unsupervised Progressive Parsing of Poisson Fields Using Minimum Description Length, Criteria. ICIP (2) 1999: 26-30 - [c8]Aditya Vailaya, Mário A. T. Figueiredo, Anil K. Jain, HongJiang Zhang:
Content-Based Hierarchical Classification of Vacation Images. ICMCS, Vol. 1 1999: 518-523 - [c7]Aditya Vailaya, Mário A. T. Figueiredo, Anil K. Jain, HongJiang Zhang:
Bayesian framework for semantic classification of outdoor vacation images. Storage and Retrieval for Image and Video Databases (SPIE) 1999: 415-426 - 1998
- [j5]José M. N. Leitão, Mário A. T. Figueiredo:
Absolute phase image reconstruction: a stochastic nonlinear filtering approach. IEEE Trans. Image Process. 7(6): 868-882 (1998) - 1997
- [j4]Mário A. T. Figueiredo, José M. N. Leitão:
Unsupervised image restoration and edge location using compound Gauss-Markov random fields and the MDL principle. IEEE Trans. Image Process. 6(8): 1089-1102 (1997) - [c6]Mário A. T. Figueiredo, José M. N. Leitão, Anil K. Jain:
Adaptive B-Splines and Boundary Estimation. CVPR 1997: 724-730 - [c5]Mário A. T. Figueiredo, José M. N. Leitão, Anil K. Jain:
Adaptive Parametrically Deformable Contours. EMMCVPR 1997: 35-50 - 1996
- [c4]Mário A. T. Figueiredo, José M. N. Leitão:
Unsupervised contour estimation. ICIP (1) 1996: 821-824 - 1995
- [j3]Mário A. T. Figueiredo, José M. N. Leitão:
A nonsmoothing approach to the estimation of vessel contours in angiograms. IEEE Trans. Medical Imaging 14(1): 162-172 (1995) - [c3]José M. N. Leitão, Mário A. T. Figueiredo:
Interferometric image reconstruction as a nonlinear Bayesian estimation problem. ICIP 1995: 453-456 - 1994
- [j2]Mário A. T. Figueiredo, José M. N. Leitão:
Sequential and parallel image restoration: neural network implementations. IEEE Trans. Image Process. 3(6): 789-801 (1994) - [c2]Mário A. T. Figueiredo, José M. N. Leitão:
Adaptive Discontinuity Location in Image Restoration. ICIP (2) 1994: 665-669 - 1993
- [c1]Mário A. T. Figueiredo, José M. N. Leitão:
Simulated tearing: an algorithm for discontinuity-preserving visual surface reconstruction. CVPR 1993: 28-33 - 1992
- [j1]Mário A. T. Figueiredo, José M. N. Leitão:
Bayesian estimation of ventricular contours in angiographic images. IEEE Trans. Medical Imaging 11(3): 416-429 (1992)
Coauthor Index
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