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ORCIDMário A. T. Figueiredo
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- affiliation: Instituto de Telecomunicaçoes, Portugal
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2020 – today
- 2023
[j72]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)- [j71]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) - [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 - [i51]Mário A. T. Figueiredo, Catarina A. Oliveira:
Distinguishing Cause from Effect on Categorical Data: The Uniform Channel Model. CoRR abs/2303.08572 (2023) - [i50]José Pombal, Pedro Saleiro, Mário A. T. Figueiredo, Pedro Bizarro:
Fairness-Aware Data Valuation for Supervised Learning. CoRR abs/2303.16963 (2023) - [i49]André F. C. Gomes, Mário A. T. Figueiredo:
Orders between channels and some implications for partial information decomposition. CoRR abs/2305.06021 (2023) - 2022
- [j70]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) - [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)</