Mario Figueiredo - Home Page (original) (raw)

| M�rio A. T. Figueiredo | | | ------------------------------------------------------------------------ | |

Publication records: Google scholar, Semantic Scholar, ReseacherID, Scopus, ORCID, DBLP

P ublications Graduate Students Professional service Invited talks and Tutorials Contact information

Positions:

IST Distinguished Professor, Department of Electrical and Computer Engineering, Instituto Superior T�cnico (IST).
Feedzai Professor of Machine Learning, IST.
Head of the Lisbon Unit for Learning and Intelligent Systems (LUMLIS), the IST unit of ELLIS.
Coordinator, Information and Data Science Thematic Line, Instituto de Telecomunica��es.
Coordinator, Pattern Recognition and Automatic Learning research cluster, Instituto de Telecomunica��es

Awards and Honors :

2021 EURASIP Fellow ("For fundamental contributions to optimization algorithms for sparsity-based and wavelet-based signal processing.") 2018 Clarivate Analytics (formerly Thomson-Reuters) Web of Science highly cited researcher 2017 Clarivate Analytics (formerly Thomson-Reuters) Web of Science highly cited researcher IAPR Pierre Devijver Award, 2016 2016 Thomson-Reuters Web of Science highly cited researcher 2016 EURASIP Technical Achievement Award ("For fundamental contributions to optimization algorithms for sparsity-based and wavelet-based signal processing.") 2015 Thomson-Reuters Web of Science highly cited researcher Mentioned in the Thomson Reuters' report "The World's Most Influential Scientif Minds - 2015" 2014 Thomson-Reuters highly cited researcher Mentioned in the Thomson Reuters' report "The World's Most Influential Scientif Minds - 2014". 2014 IEEE Walter R. G. Baker Award (this paper). 2011 IEEE Signal Processing Society Best Paper Award (this paper) Best student paper award at ICPRAM 2012 (this paper). Fellow of the IEEE (Institute of Electrical and Electronics Engineers), since 2010 ("For contributions to pattern recognition and computer vision") Fellow of the IAPR (International Association of Pattern Recognition), since 2009. ("For contributions to unsupervised and supervised learning, image analysis, and wavelet-based image restoration") Best Paper Award, Iberian Conf. on Pattern Recognition and Image Analysis � IbPRIA�2007, Girona, Spain, 2007 (this paper). Technical University of Lisbon/Santander-Totta Award (2007). Best Student Paper Honorable Mention, Neural Information Processing Systems (NIPS), Vancouver, Canada, 2006 (this paper). In�s Simas Memorial Best Paper Award, 4th Conf. on Telecommunications, Aveiro, Portugal, 2003 (this paper). 1995 IBM Scientific Prize (for work on unsupervised image restoration).

Current and former students, post-docs, and other collaborators:

Andr� Gomes
Andr� Martins
Afonso Teodoro
Anna Caterina Carli
Artur Ferreira
Bruno Afonso
Catarina Oliveira
Cl�udia Silvestre
David Pereira Coutinho
Dong Seon Cheng
Francisco Lima Andrade
Gon�alo Faria
Guilherme Grij� Pires
Jo�o Pedro Oliveira
Joanna Bachmatiuk
Jo�o Pedro Caetano
Jo�o Santinha
Jo�o Bento
Jo�o Pedro Ara�jo
Jorge Pessoa dos Santos
Jose Antonio Guerrero-Colon
Jos� Maria Moreira
Joshin Krishnan
Lina Zhuang
Manuele Bicego
Manya Afonso
Maria do C�u Beir�o
Mariana Almeida
Marina Ljubenovic
Marta Lopes
Matilde Tristany Farinha
Miguel Pontes
Milad Niknejad
Paulo Ferreira
Pedro Latorre Carmona
Sandra Jardim
Zeng Xiangrong

Red_Ball2194 Publications:

WARNING: the publications list in this page is no longer updated; please see my Google scholar page.

edited books, guest-edited special issues, journal papers, conference papers, invited talks, lecture notes

The following copyright notice applies to papers that have appeared (or will appear) in IEEE publications:
��1992-2007 IEEE. Personal use of this material is permitted. However, permission to reprint/republish
this material for advertising or promotional purposes or for creating new collective works for resale or
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Edited books

A. Fred, M. de Marsico, M. Figueiredo (Eds.)
Pattern Recognition : Applications and Methods,
Lecture notes in Computer Science (LNCS), Volume 9493, Springer, 2016.
A. Rangarajan, M. Figueiredo, and J. Zerubia (Eds.),
Energy Minimization Methods in Computer Vision and Pattern Recognition,
Lecture notes in Computer Science (LNCS), Volume 2683, Springer Verlag, Berlin, 2003.
M. Figueiredo, J. Zerubia, and A.K.Jain (Eds.),
Energy Minimization Methods in Computer Vision and Pattern Recognition,
Lecture notes in Computer Science (LNCS), Volume 2134, Springer Verlag, Berlin, 2001.

Guest-edited special issues

R. Chartrand, R. Baraniuk, Y. Eldar, M. Figueiredo, J. Tanner,
�Introduction to the issue on compressive sensing�,
IEEE Journal of Selected Topics in Signal Processing, vol. 4, no. 2, 2010.
M. Feder, M. Figueiredo, A. Hero, C.-H. Lee, H.-A. Loeliger, R. Nowak, A. Singer, B. Yu,
�Guest editorial: Special Issue on machine learning methods in signal processing�,
IEEE Transactions on Signal Processing, vol. 52, no. 8, 2004.
M. Figueiredo, E. Hancock, M. Pelillo, J. Zerubia,
�Guest editors' introduction to the special section on energy minimization methods in computer vision and pattern recognition (part II)�,
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 2, 2004.
M. Figueiredo, E. Hancock, M. Pelillo, J. Zerubia,
�Guest editors' introduction to the special section on energy minimization methods in computer vision and pattern recognition�,
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 11, 2003.

Journal Papers and Preprints

M. Denitto, M. Bicego, A. Farinelli, M. Figueiredo,
"Spike and slab biclustering",
Pattern Recognition, vol. 72, pp. 186-195, 2017.
MATLAB code available here
M. Denitto, A. Farinelli, M. Figueiredo, M. Bicego,
"A biclustering approach based on factor graphs and the max-sum algorithm",
Pattern Recognition, vol. 62, pp. 114-124, 2017.
M. Lopes, C. Calado, M. Figueiredo, J. Bioucas-Dias,
"Does nonlinear modeling play a role in plasmid bioprocess monitoring using Fourier transform infrared spectra?"
Applied Spectroscopy, vol. 70, 2016.
D. Pereira Coutinho, M. Figueiredo,
"Text classification using compression-based dissimilarity measures",
International Journal of Pattern Recognition and Artificial Intelligence, vol. 29, no. 5, 2015.
A. Louren�o, S. Rota Bul�, N. Rebagliati, A. Fred, M. Figueiredo, M. Pelillo,
"Probabilistic consensus clustering using evidence accumulation",
Machine Learning, vol. 98, issue 1-2, pp 331-357, 2015.
A. Martins,M. Figueiredo, P. Aguiar, N. Smith, E. Xing,
"AD3: Alternating directions dual decomposition for MAP inference in graphical models",
Journal of Machine Learning Research, vol. 16, pp. 495-545, 2015.
Code is available here
A. Portelo, M. Figueiredo, J. Lemos, J. Marques,
"Moving Horizon Estimation of Pedestrian Interactions using Multiple Velocity Fields", Signal, Image and Video Processing, vol. 9, pp. 1669-1677, 2015.
M. Figueiredo, R. Nowak,
"Sparse estimation with strongly correlated variables using ordered weighted L1 regularization",
Eprint arXiv:1409.4005, 2014.
X. Zeng, M. Figueiredo,
"The ordered weighted ℓ1 norm: Atomic formulation, dual Norm, and projections",
Eprint arXiv: 1409.4271, 2014.
C. Silvestre, M. Cardoso, M. Figueiredo,
"Feature selection for clustering categorical data with an embedded modelling approach",
Expert Systems, vol. 32, pp. 444-453, 2014.
X. Zeng, M. Figueiredo,
"Decreasing weighted sorted L1 regularization",
IEEE Signal Processing Letters, vol. 21, no. 10, pp. 1240-1244, 2014.
X. Zeng, M. Figueiredo,
"Solving OSCAR regularization problems by fast approximate proximal splitting algorithms",
Digital Signal Processing, vol. 31, pp. 124-135, 2014.
N. Fachada, M. Figueiredo, V. Lopes, R. Martins, A. Rosa,
"Spectrometric differentiation of yeast strains using minimum volume increase and minimum direction change clustering criteria",
Pattern Recognition Letters, vol. 45, pp. 55-61, 2014.
A. Carli, M. Figueiredo, M. Bicego, V. Murino,
"Generative embeddings based on Rician mixtures for kernel-based classification of magnetic resonance images",
Neurocomputing, vol. 123, pp. 49-59, January 2014.
A. Ferreira, M. Figueiredo,
"Incremental filter and wrapper approaches for feature discretization",
Neurocomputing, vol. 123, pp. 60-74, January 2014.
J. Oliveira, M. Figueiredo, J. Bioucas-Dias,
"Parametric blur estimation for blind restoration of natural images: linear motion and out-of-focus",
IEEE Transactions on Image Processing, vol. 23, pp. 466-477, 2014.
D. Pereira Coutinho, H. Silva, A. Fred, M. Figueiredo,
"Novel fiducial and non-fiducial approaches to ECG-based biometric systems",
IET Biometrics, vol. 2, issue 2, pp. 64-75, 2013.
M. Bicego, A. Ulas, U. Castellani, A. Perina, V. Murino, A. Martins, P. Aguiar, M. Figueiredo,
"Combining information theoretic kernels with generative embeddings for classification",
Neurocomputing, vol. 101, pp. 161-169, 2013.
M. Almeida, M. Figueiredo,
"Deconvolving images with unknown boundaries using the alternating direction method of multipliers",
IEEE Transactions on Image Processing, vol. 22, no. 8, pp. 3084-3096, 2013 (available at http://arxiv.org/abs/1210.2687)
M. Almeida, M. Figueiredo,
"Parameter estimation for blind and non-blind deblurring using residual whiteness measures",
IEEE Transactions on Image Processing, vol. 22, no. 7, pp. 2751-2763, 2013.
MATLAB code available here
J. Nascimento, M. Figueiredo, J. Marques,
"Activity recognition using mixture of vector fields",
IEEE Transactions on Image Processing, vol. 22, no. 5, pp. 1712-1725, 2013.
A. Carreiro, A. Ferreira, M. Figueiredo, S. Madeira,
"Towards a classification approach using meta-biclustering: impact of discretization in the analysis of expression time series",
Journal of Integrative Bioinformatics, vol. 9, issue 3, 2012.
A. Ferreira, M. Figueiredo,
"Efficient feature selection filters for high dimensional data",
Pattern Recognition Letters, vol. 33, issue 13, pp. 1794-1804, 2012.
A. Ferreira, M. Figueiredo,
"An unsupervised approach to unsupervised feature discretization",
Pattern Recognition, vol. 45, issue 9, pp. 3048-3060, 2012.
M. B. Lopes, J.-C. Wolff,J. Bioucas-Dias, M. Figueiredo,
"Study on the effect of pixel resolution and blending grade on near-infrared hyperspectral unmixing of tablets",
Applied Spectroscopy, vol. 65, no. 2, pp. 36A-52A and 127-241, 2011.
M. Afonso, J. Bioucas-Dias, M. Figueiredo**,**
�An augmented Lagrangian approach to the constrained optimization formulation of imaging inverse problems�,
IEEE Transactions on Image Processing, vol. 20, no. 3, pp. 681-695, 2011.
MATLAB code available here
M. B. Lopes, J.-C. Wolff,J. Bioucas-Dias, M. Figueiredo,
�Reply to the comments on �Near-Infrared Hyperspectral Unmixing Based on a Minimum Volume Criterion for Fast and Accurate Chemometric Characterization of Counterfeit Tablets�,
Analytical Chemistry, vol. 82, no. 20, pp. 8753-8754, 2010.
M. B. Lopes, J.-C. Wolff,J. Bioucas-Dias, M. Figueiredo,
�Quantification of components in non-homogenous pharmaceutical tablets using near infrared reflectance imaging�,
Journal of Near Infrared Spectroscopy, vol. 18, no. 5, pp. 333-340, 2010.
J. P. Paulo, J. L. Bento Coelho, M. Figueiredo,
�Statistical classification of road pavements using on-vehicle noise measurements�,
Journal of the Acoustical Society of America, vol. 128, no. 4, pp. 1747-1754, 2010.
M. Figueiredo and J. Bioucas-Dias,
�Restoration of Poissonian images using alternating direction optimization�,
IEEE Transactions on Image Processing, vol. 19, no. 12, pp. 3133-3145, 2010.
M. Afonso, J. Bioucas-Dias, M. Figueiredo,
�Fast image recovery using variable splitting and constrained optimization�,
IEEE Transactions on Image Processing, vol. 19, no. 9, 2345 � 2356, 2010.
MATLAB code available here
J. Bioucas-Dias and M. Figueiredo,
�Multiplicative noise removal using variable splitting and constrained optimization�,
IEEE Transactions on Image Processing, vol. 19, no. 7, pp. 1720-1730, 2010.
M. Elad, M. Figueiredo, Y. Ma,
"On the role of sparse and redundant representations in image processing",
Proceedings of the IEEE (Special Issue on Applications of Compressive Sensing and Sparse Representations), vol. 98, no. 6, pp. 972-982, 2010.
M. B. Lopes, J.-C. Wolff,J. Bioucas-Dias, M. Figueiredo,
�NIR hyperspectral unmixing based on a minimum volume criterion for fast and accurate chemical characterisation of counterfeit tablets�,
Analytical Chemistry, vol. 82, no. 4, pp. 1462-1469, 2010.
J. Nascimento, M. Figueiredo, J. S. Marques,
�Trajectory classification using switched dynamical hidden Markov models�,
IEEE Transactions on Image Processing, vol. 19, no. 5, pp. 1338-1348, 2010.
J. Oliveira, J. Bioucas-Dias, M. Figueiredo,
�Adaptive total variation image deblurring: a majorization-minimization approach�,
Signal Processing, vol. 89, issue 9, pp. 1683-1693, 2009.
S. Wright, R. Nowak, M. Figueiredo, 2011 IEEE SPS Best Paper Award
�Sparse reconstruction by separable approximation�,
IEEE Transactions on Signal Processing, vol. 57, no. 7, pp. 2479-2493, 2009.
MATLAB code available here.
M. B. Lopes, J.-C. Wolff, J. Bioucas-Dias, M. Figueiredo,
�Determination of the composition of counterfeit HeptodinTM tablets by near-infrared chemical imaging and least squares estimation�,
Analytica Chimica Acta, vol. 641, issues 1-2, pp. 46-51, 2009.
A. Ferreira, A. Oliveira, M. Figueiredo,
"On the suitability of suffix arrays for Lempel-Ziv data compression",
Communications in Computer and Information Science, vol. 48, pp. 267 - 280, 2009.
A. Martins, N. Smith, E. Xing, P. Aguiar, and M. Figueiredo,
�Nonextensive information theoretic kernels on measures�,
Journal of Machine Learning Research, vol. 10, pp. 935 � 975, 2009.
M. Bicego, M. Figueiredo,
�Soft clustering using weighted one-class support vector machines�,
Pattern Recognition, vol. 42, Issue 1, pp. 27-32, January 2009.
MATLAB code available here
M. Rabbat, M. Figueiredo, and R. Nowak,
"Network inference from co-occurrences",
IEEE Transactions on Information Theory, vol. 54, no. 9, pp. 4053-4068, 2008.
J. Nascimento, M. Figueiredo, J. S. Marques,
�Independent increment processes for human motion recognition�,
Computer Vision and Image Understanding, vol. 109, issue 2, pp. 126-138, 2008.
M. Figueiredo,R. Nowak, S. Wright,
�Gradient projection for sparse reconstruction: application to compressed sensing and other inverse problems�,
IEEE Journal of Selected Topics in Signal Processing: Special Issue on Convex Optimization Methods for Signal Processing, vol. 1, no. 4, pp. 586-598, 2007.
MATLAB code available here.
M. Figueiredo, J. Bioucas-Dias, R. Nowak,
�Majorization-minimization algorithms for wavelet-based image restoration�,
IEEE Transactions on Image Processing, vol. 16, no. 12, pp. 2980-2991, 2007.
J. Bioucas-Dias, M. Figueiredo,
�A new TwIST: two-step iterative shrinkage/thresholding algorithms for image restoration�,
IEEE Transactions on Image Processing, vol. 16, no. 12, pp. 2992-3004, 2007.
MATLAB code available here
A. Ferreira and M. Figueiredo,
"On the use of independent component analysis for image compression",
Signal Processing: Image Communication, vol. 21, no. 5, pp. 378-389, 2006.
B. Krishnapuram, L. Carin, M. Figueiredo, and A. Hartemink,
"Learning sparse Bayesian classifiers: multi-class formulation, fast algorithms, and generalization bounds",
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 6, pp. 957-968, 2005.
JAVA code available here.
S. Jardim and M. Figueiredo,
"Segmentation of fetal ultrasound images",
Ultrasound in Medicince and Biology, vol. 31, no. 2, pp. 243-250, February 2005.
A. Martins, P. Aguiar, and M. Figueiredo,
"Orientation in Manhattan: equiprojective classes and sequential estimation",
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, no. 5, pp. 822-827, 2005.
Watch the movie here.
M. Bicego, V. Murino, and M. Figueiredo,
"Similarity-based classification of sequences using hidden Markov models",
Pattern Recognition, vol. 37, pp. 2281-2291, December 2004.
B. Krishnapuram, A. Hartemink, L. Carin and M. Figueiredo,
"A Bayesian approach to joint feature selection and classifier design",
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 9, pp. 1105-1111, 2004.
M. Law, M. Figueiredo, and A. K. Jain,
"Simultaneous feature selection and clustering using a mixture model",
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 9, pp. 1154-1166, September 2004.
M. Figueiredo,
"Adaptive sparseness for supervised learning",
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 9 pp.1150-1159, September 2003.
M. Figueiredo and R. Nowak,
"An EM Algorithm for Wavelet-Based Image Restoration",
IEEE Transactions on Image Processing, vol.12, no.8, pp. 906-916, August 2003.
M. Bicego, V. Murino, and M. Figueiredo,
"A sequential pruning strategy for the selection of the number of states in hidden Markov models",
Pattern Recognition Letters, vol. 24, pp. 1395 - 1407, 2003.
MATLAB code available here
M. Figueiredo and A. K. Jain,
"Unsupervised learning of finite mixture models",
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, no. 3, pp. 381-396, 2002.
MATLAB code available here
M. Figueiredo and R. Nowak,
"Wavelet-Based image estimation: An empirical Bayes approach using Jeffreys' noninformative prior",
IEEE Transactions on Image Processing, vol. 10, no. 9, pp. 1322-1331, September 2001.
A. Vailaya, M. Figueiredo, A. K. Jain, and H.-J. Zhang,
"Image classification for content-based indexing",
IEEE Transactions on Image Processing, vol. 10, no. 1, pp. 117-130, January 2001.
M. Figueiredo, J. Leit�o, and A. K. Jain,
"Unsupervised contour representation and estimation using B-splines and a minimum description length criterion",
IEEE Transactions on Image Processing, vol. 9, no. 6, pp. 1075-1087, June 2000.
J. Leit�o and M. Figueiredo,
"Absolute phase image reconstruction: a stochastic nonlinear filtering approach",
IEEE Transactions on Image Processing, vol. 7, no. 7, pp. 868-882, June 1998.
M. Figueiredo and J. Leit�o,
"Unsupervised image restoration and edge location using compound Gauss-Markov random fields and the MDL principle",
IEEE Transactions on Image Processing, vol 6, n. 8, pp. 1089-1102, August 1997.
M. Figueiredo and J. Leit�o,
"A nonsmoothing approach to the estimation of vessel contours in angiograms",
IEEE Transactions on Medical Imaging, vol. 14, pp. 162-172, March 1995.
M. Figueiredo and J. Leit�o,
"Sequential and parallel image restoration: Neural network implementations",
IEEE Transactions on Image Processing, vol. 3, pp. 789-802, November 1994.
M. Figueiredo and J. Leit�o,
"Bayesian estimation of ventricular contours in angiographic images",
IEEE Transactions on Medical Imaging, vol. 11, no.3, pp. 416-429, 1992.

Papers in conferences/workshops and edited books

Jump to: 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 20th-Century

2017:

M.Denitto, S. Melzi, M. Bicego, U. Castellani, A. Farinelli, M. Figueiredo, Y. Kleiman, M. Ovsjanikov,
"Region-based correspondence between 3D shapes via spatially smooth biclustering"
International Conference on Computer Vision - ICCV, Venice, Italy, 2017.
T. Pires, M. Figueiredo,
"Shape-based trajectory clustering",
International Conference on Pattern Recogntion Applications and Metho ds - ICPRAM, Porto, Portugal, 2017.
A. Teodoro, J. Bioucas-Dias, M. Figueiredo,
"Sharpening hyperspectral images using plug-and-play prior",
International Conference on Latent Variable Analysis and Signal Separation - LVA/ICA, Grenoble, France, 2017.
M. Figueiredo,
"Synthesis versus analysis in patch-based image priors",
IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP, New Orleans, USA, 2017.
Z. Xu, M. Figueiredo, X. Yuan, C. Studer, T. Goldstein,
"Adaptive relaxed ADMM: convergence theory and practical implementation",
IEEE Computer Society Conference on Computer Vision and Pattern Recognition - CVPR, Honolulu, Hawaii, USA, 2017.
Z. Xu, M. Figueiredo, T. Goldstein,
"Adaptive ADMM with spectral penalty parameter selection",
International Conference on Artificial Intelligence and Statistics - AISTATS, Fort Lauderdale, USA, 2017.

2016:

Z. Xu, S. De, M. Figueiredo, C. Studer, T. Goldstein,
"An empirical study of ADMM for nonconvex problems",
NIPS 2016 Workshop on Nonconvex Optimization for Machine Learning: Theory and Practice, Barcelona, Spain, 2016.
J. Bioucas-Dias, M. Figueiredo,
"Bayesian image segmentation using hidden fields supervised and semi-supervised formulations",
European Signal Processing Conference - EUSIPCO, Budapeste, Hungary, 2016
C. Silvestre, M. Cardoso, M. Figueiredo,
"Model selection in discrete clustering: The EM-MML algorithm",
9th International Conference of the ERCIM Working Group on Computational and Methodological Statistics, Seville, Spain, 2016.
M. Figueiredo, R. Nowak,
"Ordered weighted l1 regularized regression with strongly correlated covariates: theoretical aspects",
International Conf. on Artificial Intelligence and Statistics - AISTATS, Cadiz, Spain, 2016.
(One of 35 oral presentation, out of 537 submissions). Supplementary material available here
A. Teodoro, J. Bioucas-Dias, M. Figueiredo,
"Image restoration and reconstruction using variable splitting and class-adapted image priors",
IEEE International Conference on Image Processing - ICIP, Phoenix, USA, 2016 (preprint)
A. Teodoro, J. Bioucas-Dias, M. Figueiredo,
" Image restoration with locally selected class-adapted models",
IEEE International Workshop on Machine Learning for Signal Processing - MLSP, Salerno, Italy, 2016 (preprint)

2015:

X. Zeng, M. Figueiredo,
"Decreasing weighted sorted l1 regularization",
IEEE International Conference on Acoustics, Speech, and Signal Processing, Brisbane, Australia, 2014.
M. Pereyra, J. Bioucas-Dias, M. Figueiredo,
"Maximum-a-posteriori estimation with unknown regularisation parameters",
European Signal Processing Conference - EUSIPCO, Nice, France, 2015.
A. Ferreira, M. Figueiredo,
"Exploiting the bin-class histograms for feature selection on discrete data",
Iberian Conference on Pattern Recognition and Image Analysis, Santiago de Compostela, Spain, 2015.
A. Teodoro, M. Almeida, M. Figueiredo,
"Single-frame image denoising and inpainting using Gaussian mixtures",
International Conference on Pattern Recognition Applications and Methods (ICPRAM), Lisbon, Portugal, 2015.
M. Figueiredo, R. Nowak,
"Linear regression with strongly correlated designs using ordered weighted l1 regularization",
Workshop on Signal Processing with Adaptive Sparse Structured Representations - SPARS, Cambridge, UK, 2015.
X. Zeng, M. Figueiredo,
"The ordered weighted l1 norm: atomic formulation and conditional gradient algorithm",
Workshop on Signal Processing with Adaptive Sparse Structured Representations - SPARS, Cambridge, UK, 2015.
Q. Ferreira , A. Bragan�a , J. Pedro Oliveira , J. Bioucas-Dias , M. A. T. Figueiredo , L.A. Alc�cer , J. Morgado,
"Nanostructured coatings for intraocular devices with drug delivery function",
International Conference on Biomedical Electronics and Devices (BIODEVICES), Lisbon , Portugal, 2015.

2014:

X. Zeng, M. Figueiredo,
"The atomic norm formulation of OSCAR regularization with application to the Frank-Wolfe algorithm",
European Signal Processing Conference, Lisbon, Portugal, 2014.
X. Zeng, M. Figueiredo,
"Robust SPArsity and clustering regularization for regression",
European Signal Processing Conference, Lisbon, Portugal, 2014.
M. Figueiredo,
"Teaching a new trick to an old dog: revisiting the quadratic programming formulation of sparse recovery using ADMM",
IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, 2014.
A. Barata, M. Figueiredo, M. Emre Celebi, J. S. Marques,
"Color Identification in dermoscopy images using Gaussian mixture Models",
IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, 2014.
X. Zeng, M. Figueiredo,
"Group-sparse matrix recovery",
IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, 2014.
X. Zeng, M. Figueiredo,
"Robust binary fused compressive sensing using adaptive outlier pursuit",
IEEE International Conference on Acoustics, Speech, and Signal Processing, Florence, Italy, 2014.
M. Figueiredo,
"Revisiting the quadratic programming formulation of sparse recovery",
SIAM Conference on Imaging Science, Hong Kong, 2014.

2013:

P. Aguiar, M. Bicego, U. Castellani, M. Figueiredo, A. Martins, V. Murino, A. Perina, A. Ulas,
"On the combination of information-theoretic kernels with generative embeddings"
Similarity-Based Pattern Analysis and Recognition, M. Pelillo (editor), pp. 67-83, Springer, 2013.
A. Portelo, R. Ribeiro, M. Figueiredo, J. Lemos, J. Marques,
"A velocity field approach to the detection of pedestrian interactions",
21st Mediteranean Conference on Control and Automation, Platanias-Chania, Creete, Greece, 2013.
M. Almeida, M. Figueiredo,
"Frame-based image deblurring with unknown boundary conditions using the alternating direction method of multipliers",
IEEE International Conference on Image Processing, Melbourne, Australia, 2013.
M. Almeida, M. Figueiredo,
"Blind image deblurring with unknown boundary conditions using the alternating direction method of multipliers",
IEEE International Conference on Image Processing, Melbourne, Australia, 2013.
A. Portelo, S. Pacheco, M. Figueiredo, J. Lemos, J. Marques,
"Moving horizon estimation of pedestrian interactions based on multiple velocity fields",
9th International Symposium on Visual Computing (ISVC'13), Rethymnon, Crete, Greece, 2013.
X. Zeng, M. Figueiredo,
"2D Fused Binary Compressive Sensing",
Signal Processing with Adaptive Sparse Structured Representations (SPARS'2013), Lausanne, Switzerland, 2013.
X. Zeng, M. Figueiredo,
"SPARsity and Clustering Regularization for Regression",
Signal Processing with Adaptive Sparse Structured Representations (SPARS'2013), Lausanne, Switzerland, 2013.
X. Zeng, M. Figueiredo,
"Binary fused compressive sensing: 1-Bit compressive sensing meets group sparsity",
9th Portuguese Conference on Telecommunications, Castelo Branco, Portugal, 2013.
A. Ferreira, M. Figueiredo,
"An Incremental bit allocation strategy for supervised feature discretization",
Iberian Conference on Pattern Recognition and Image Analysis, Funchal, Portugal, 2013.
A. Louren�o, S. Rota Bul�, N. Rebagliati, A. Fred, M. Figueiredo, M. Pelillo,
"Consensus clustering using partial evidence accumulation",
Iberian Conference on Pattern Recognition and Image Analysis, Funchal, Portugal, 2013.
A. Ferreira, M. Figueiredo,
"Relevance and mutual information-based feature discretization",
International Conference on Pattern Recognition Theory and Applications, Barcelona, Spain, 2013.
A. Louren�o, S. Rota Bul�, N. Rebagliati, A. Fred, M. Figueiredo, M. Pelillo,
"Probabilistic evidence accumulation for clustering ensembles",
International Conference on Pattern Recognition Theory and Applications, Barcelona, Spain, 2013.

2012:

M. Figueiredo, J. Bioucas-Dias,
"Algorithms for imaging inverse problems under sparsity regularization",
invited paper in the Proceedings of the Workshop on Cognitive Information Processing (CIP 2012), Baiona, Spain, 2012.
A. Ferreira, M. Figueiredo,
"Boosting Algorithms: A Review of methods, theory, and applications",
Ensemble Machine Learning, C. Zhang and Y. Ma (editors), pp. 35-84, Springer, 2012.
A. Louren�o, A. Fred, M. Figueiredo,
"Dyadic aspect model for evidence accumulation clustering on synthetic generated models",
Jornadas de Classifica��o e An�lise de Dados, Tomar, Portugal, 2012.
A. Ferreira, M. Figueiredo,
"A relevance-based Linde-Buzo-Gray approach for supervised feature discretization",
Portuguese Conference on Pattern Recognition, Coimbra, Portugal, 2012.
A. Ferreira, M. Figueiredo,
"Supervised feature discretization by mutual information maximization",
Portuguese Conference on Pattern Recognition, Coimbra, Portugal, 2012.
A. Carreiro, A. Ferreira, M. Figueiredo, S. Madeira,
"Prognostic prediction using clinical expression time series: Towards a supervised learning approach based on meta-biclusters",
6th International Conference on Practical Applications of Computational Biology & Bioinformatics, Salamanca, Spain, 2012.
A. Carli, M. Figueiredo, M. Bicego, V. Murino, Best student paper award!
"Generative Embeddings Based on Rician Mixtures: Application to Kernel-Based Discriminative Classification of Magnetic Resonance Images",
1st International Conference on Pattern Recognition Applications and Methods, Vilamoura, Portugal, 2012.
A. Ferreira, M. Figueiredo,
"A dynamic wrapper method for feature discretization and selection"
1st International Conference on Pattern Recognition Applications and Methods, Vilamoura, Portugal, 2012.

2011:

A. Louren�o, A. Fred, M. Figueiredo,
"A generative dyadic aspect model for evidence accumulation clustering",
1st International Workshop on Similarity-Based Pattern Analysis and Recognition - SIMBAD'2011, Venice, Italy, 2011_._
M. Bicego, A. Ulaş, P. Schuffler, U. Castellani, V. Murino, A. Martins, P. Aguiar, and M. Figueiredo,
"Renal cancer cell classification using generative embeddings and information theoretic kernels",
IAPR International Conference on Pattern Recognition in Bioinformatics PRIB'11, Delft, The Netherlands, 2011.
A. Ferreira, M. Figueiredo,
"Feature Discretization and Selection in Microarray Data",
International Conference on Knowledge Discovery and Information Retrieval - KDIR'2011, Paris, France, 2011.
M. Figueiredo, J. Bioucas-Dias,
"An alternating direction algorithm for (overlapping) group regularization",
Signal processing with adaptive sparse structured representations - SPARS11, Edinburgh, Scotland, UK, 2011.
M. Afonso, J. Bioucas-Dias, M. Figueiredo,
"Hybrid synthesis-analysis frame-based regularization: a criterion and an algorithm",
Signal processing with adaptive sparse structured representations - SPARS11, Edinburgh, Scotland, UK, 2011.
J. S. Marques, M. Figueiredo,
"Fast Estimation of Multiple Vector Fields: Application to Video Surveillance",
7th International Symposium on Image and Signal Processing and Analysis - ISPA 2011, Dubrovnik, Croatia, 2011.
C. Silvestre, M. Cardoso, M. Figueiredo,
"Simultaneously selecting categorical features and the number of clusters in model-based clustering",
International Classification Conference - ICC 2011, University of St. Andrews, Scotland, UK, 2011.
A. Martins, N. Smith, M. Figueiredo, P. Aguiar,
"Structured sparsity in structured prediction",
Conference on Empirical Methods in Natural Language Processing - EMNLP'2011, Edinburgh, Scotland, UK, 2011.
A. Martins, N. Smith, M. Figueiredo, P. Aguiar,
"Dual decomposition with many slaves",
Conference on Empirical Methods in Natural Language Processing - EMNLP'2011, Edinburgh, Scotland, UK, 2011.
A. Martins, M. Figueiredo, N. Smith, E. Xing, P. Aguiar,
"An augmented Lagrangian approach to constrained MAP inference",
International Conference on Machine Learning - ICML'2011, Bellevue, Washington, USA, 2011.
A. Martins, N. Smith, E. Xing, P. Aguiar, M. Figueiredo,
"Online learning of structured predictors with multiple kernels",
Fourteenth International Conference on Artificial Intelligence and Statistics - AISTATS'2011, Fort Lauderdale, FL, USA, 2011.
J. Nascimento, J. S. Marques, M. Figueiredo,
�Discriminative model selection using a modified Bayesian criterion: application to trajectory modeling�,
IEEE International Conference on Image Processing � ICIP�2010, Brussels, Belgium, 2011.
J. S. Marques, M. Figueiredo,
"Image super-segmentation: segmentation with multiple labels from shuffled observations",
IEEE International Conference on Image Processing � ICIP�2010, Brussels, Belgium, 2011.
M. B. Lopes, J. Bioucas Dias, J.-C. Wolff, N. Mistry, J. Warrack, M. Figueiredo,
"Comparison of near infrared and Raman hyperspectral unmixing performances for chemical identification of pharmaceutical tablets",
Workshop on Hyperspectral Image and Signal Processing - WHISPERS'2011, Lisbon, Portugal, 2011.
M. Almeida, M. Figueiredo,
"New stopping criteria for iterative blind image deblurring based on residual whiteness measures",
IEEE Statistical Signal Processing Workshop - SSP'2011, Nice, France, 2011.
A. Ferreira, M. Figueiredo,
"Efficient unsupervised feature selection for sparse data",
International Conference on Computer as a Tool (EUROCON'2011) and Conference on Telecommunications (ConfTele), Lisbon, Portugal, 2011.
M. Afonso, J. Bioucas-Dias,M. Figueiredo,
"Non-cyclic deconvolution using an augmented Lagrangian method",
International Conference on Computer as a Tool (EUROCON'2011) and Conference on Telecommunications (ConfTele), Lisbon, Portugal, 2011.
A. Ferreira, A. Oliveira, M. Figueiredo,
"Sliding window update using suffix arrays",
The Data Compression Conference � DCC�2011, Snowbird, UT, USA, 2011.
A. Ferreira, M. Figueiredo,
"Unsupervised feature selection for sparse data",
European Symposium on Artificial Neural Networks - ESANN'2011, Bruges, Belgium, 2011.
A. Ferreira, M. Figueiredo,
"Unsupervised Joint Feature Discretization and Selection",
Iberian Conference on Pattern Recognition and Image Analysis - IbPRIA'2011, Las Palmas de Gran Canaria, Spain, 2011.
J. S. Marques, J. M. Lemos, M. Figueiredo, J. Nascimento, M. Bar�o,
"Trajectory analysis using switched motion fields: a parametric approach",
Iberian Conference on Pattern Recognition and Image Analysis - IbPRIA'2011, Las Palmas de Gran Canaria, Spain, 2011.
D. Pereira Coutinho, A. Fred, M. Figueiredo,
"ECG-based continuous authentication using adaptive string matching",
International Conference on Bio-inspired Systems and Signal Processing - BIOSIGNALS'2011, Rome, Italy, 2011.

2010:

A. Martins, N. Smith, E. Xing, P. Aguiar, M. Figueiredo,
"Online MKL for Structured Prediction",
NIPS 2010 Workshop on New Directions in Multiple Kernel Learning, Whistler, Canada, 2010.
A. Martins, N. Smith, E. Xing, P. Aguiar, M. Figueiredo,
"Augmented dual decomposition for MAP inference",
NIPS 2010 Workshop on Optimization for Machine Learning, Whistler, Canada, 2010.
A. Martins, N. Smith, E. Xing, P. Aguiar, M. Figueiredo,
�TurboParsers: dependency parsing by approximate variational inference�,
Empirical Methods in Natural Language Processing � EMNLP�2010, Cambridge, MA, USA, 2010.
J. Nascimento, J. S. Marques, M. Figueiredo,
�Discriminative model selection for object motion recognition�,
IEEE International Conference on Image Processing � ICIP�2010, Hong Kong, 2010.
J. Nascimento, J. S. Marques, M. Figueiredo,
�Classification of complex pedestrian activities from trajectories�,
IEEE International Conference on Image Processing � ICIP�2010, Hong Kong, 2010.
M. Figueiredo, J. Bioucas-Dias,
�Frame-based deconvolution of Poissonian images using alternating direction optimization�,
IEEE International Conference on Image Processing � ICIP�2010, Hong Kong, 2010.
M. Afonso, J. Bioucas-Dias, M. Figueiredo,
�An augmented Lagrangian approach to linear inverse problems with compound regularization�,
IEEE International Conference on Image Processing � ICIP�2010, Hong Kong, 2010.
M. Bicego, A. Perina, V. Murino, A. Martins, P. Aguiar, M. Figueiredo,
�Combining free energy score spaces with information theoretic kernels: application to scene classification�,
IEEE International Conference on Image Processing � ICIP�2010, Hong Kong, 2010.
M. Figueiredo, P. Aguiar, A. Martins, V. Murino, M. Bicego,
�Information theoretical kernels for generative embeddings based on hidden Markov models�,
Joint IAPR International Workshops on Structural, Syntactic, and Statistical Pattern Recognition - S+SSPR�2010, Cesme, Izmir, Turkey, 2010.
A. Ferreira, M. Figueiredo,
�Feature transformation and reduction for text classification'�,
10th International Workshop on Pattern Recognition in Information Systems - PRIS 2010, Funchal, Portugal, 2010.
D. Pereira Coutinho, A. Fred, and M. Figueiredo,
�Personal identification and authentication based on one-lead ECG by using Ziv-Merhav cross parsing',
10th International Workshop on Pattern Recognition in Information Systems - PRIS 2010, Funchal, Portugal, 2010.
M. Bicego, A. Martins, V. Murino, P. Aguiar, and M. Figueiredo,
�2D shape recognition using information theoretic kernels�,
IAPR International Conference on Pattern Recognition � ICPR�2010, Istanbul, Turkey, 2010.
D. Pereira Coutinho, A. Fred, and M. Figueiredo,
�One-lead ECG-based personal identification using Ziv-Merhav cross parsing�,
IAPR International Conference on Pattern Recognition � ICPR�2010, Istanbul, Turkey, 2010.
J. Bioucas-Dias and M. Figueiredo,
�Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing�,
2nd Workshop on Hyperspectral Image and Signal Processing: evolution in Remote Sensing - WHISPERS�2010, Reykjavik, Iceland, 2010.
M. V. Afonso, J. Bioucas-Dias, and M. Figueiredo,
�A fast algorithm for the constrained formulation of compressive image reconstruction and other linear inverse problems�,
IEEE International Conference on Acoustics, Speech, and Signal Processing � ICASSP�2010, Dallas, TX, USA, 2010.

2009:

I. W. Selesnick and M. Figueiredo,
�Signal restoration with overcomplete wavelet transforms: comparison of analysis and synthesis priors�,
Proceedings of SPIE, volume 7446 (Wavelets XIII), 2009.
C. Silvestre, M. Cardoso, and M. Figueiredo,
�Selecting categorical features in model-based clustering�,
International Conference on Knowledge Discovery and Information Retrieval � KDIR, Funchal, Portugal, 2009.
M. B. Lopes, J. Bioucas-Dias, M. Figueiredo, J.-C. Wolff,
�Spectral unmixing via minimum volume simplices: Application to near infrared spectra of counterfeit tablets�,
First IEEE Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing - WHISPERS�2009, Grenoble, France, 2009.
M. Figueiredo, J. Bioucas-Dias, and M. V. Afonso,
�Fast frame-based image deconvolution using variable splitting and constrained optimization�,
IEEE Workshop on Statistical Signal Processing - SSP�2009, Cardiff, 2009.
M. Figueiredo and J. Bioucas-Dias,
�Deconvolution of Poissonian images using variable splitting and augmented Lagrangian optimization�,
IEEE Workshop on Statistical Signal Processing - SSP�2009, Cardiff, 2009.
J. Nascimento, M. Figueiredo, J. S. Marques,
�Trajectory analysis in natural images using mixtures of vector fields�,
IEEE International Conference on Image Processing � ICIP�2009, Cairo, Egypt, 2009.
J. Bioucas-Dias and M. Figueiredo,
�Total variation restoration of speckled images using a split-Bregman algorithm�,
IEEE International Conference on Image Processing � ICIP�2009, Cairo, Egypt, 2009.
A. Ferreira, A. Oliveira, M. Figueiredo,
�On the use of suffix arrays for memory-efficient Lempel-Ziv data compression�,
The Data Compression Conference � DCC�2009, Snowbird, UT, USA, 2009.
M. Afonso, J. Bioucas-Dias, and M. Figueiredo,
�A Bregman iterative approach to linear inverse problems with compound regularizers�,
Workshop on Signal Processing with Adaptive Sparse Structured Representations � SPARS�09, Saint-Malo, France, 2009.

2008:

J. Nascimento, M. Figueiredo, J. Marques,
�Unsupervised learning of motion patterns using generative models�,
IEEE International Conference on Image Processing � ICIP�2008, San Diego, CA, USA, 2008.
J. Bioucas-Dias and M. Figueiredo,
�An iterative algorithm for linear inverse problems with compound regularizers�,
IEEE International Conference on Image Processing � ICIP�2008, San Diego, CA, USA, 2008.
M. Lopes, J-C. Wolff, J. Bioucas-Dias, M. Figueiredo,
�Determination of the composition of counterfeit drugs by near-infrared chemical imaging�,
35th Conference of the Federation of Analytical Chemistry and Spectroscopy Societies (FACSS 2008), Reno, NV, USA, 2008.
A. Ferreira, A. Oliveira, M. Figueiredo,
�Suffix arrays: a competitive choice for fast Lempel-Ziv compression�,
International Conference on Signal Processing and Multimedia Applications � SIGMAP�2008, Porto, Portugal, 2008.
D. Pereira-Coutinho and M. Figueiredo,
�Information-theoretic text classification: method evaluation�,
8th International Workshop on Pattern Recognition in Information Systems � PRIS�2008, Barcelona, Spain, 2008.
A. Martins, P. Aguiar, M. Figueiredo, E. Xing, N. Smith,
�Nonextensive Entropic Kernels�,
International Conference on Machine Learning � ICML�2008, Helsinki, Finland, 2008.
C. Silvestre, M. Figueiredo, M. Cardoso,
�Clustering with finite mixture models and categorical variables�,
International Conference on Computational Statistics � COMPSTAT�2008, Porto, Portugal, 2008.
Martins, P. Aguiar, M. Figueiredo,
�Tsallis kernels on measures�,
IEEE Information Theory Workshop � ITW�2008, Porto, Portugal, 2008.
S. Wright, R. Nowak, M. Figueiredo,
�Sparse reconstruction by separable approximation�,
IEEE International Conference on Acoustics, Speech, and Signal Processing � ICASSP�2008, Las Vegas, NV, USA, 2008.

2007:

J. Bioucas-Dias, M. Figueiredo,
�Two-step algorithms for linear inverse problems with non-quadratic regularization�,
IEEE International Conference on Image Processing � ICIP�2007, San Antonio, TX, USA, 2007.
J. Nascimento, M. Figueiredo, J. S. Marques,
�Semi-supervised learning of switched dynamical models for classification of human activities in surveillance applications�,
IEEE International Conference on Image Processing � ICIP�2007, San Antonio, TX, USA, 2007.
D. Cheng, M. Figueiredo,
�Cosegmentation for image sequences,�
14th International Conference on Image Analysis and Processing � ICIAP�2007, Modena, Italy, 2007.
A. Martins, M. Figueiredo, P. Aguiar,
�Kernels and similarity measures for text classification,�
6th Conference on Telecommunications - ConfTele�2007, Peniche, Portugal, 2007.
A. Ferreira, M. Figueiredo,
�Boosting of (very) weak learners,�
6th Conference on Telecommunications - ConfTele�2007, Peniche, Portugal, 2007.
M. Rabbat, M. Figueiredo, R. Nowak,
"Genomic network tomography",
IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP�2007, Honolulu, Hawaii, USA, 2007.
J. Oliveira, M. Figueiredo, J. Bioucas-Dias,
�Blind estimation of motion blur parameters for image deconvolution�,
Iberian Conference on Pattern Recognition and Image Analysis � IbPRIA�2007, Girona, Spain, 2007.
Best paper award.
J. Nascimento, M. Figueiredo, J. S. Marques,
�On-line classification of human activities�,
Iberian Conference on Pattern Recognition and Image Analysis � IbPRIA�2007, Girona, Spain, 2007.
M. Figueiredo,
�Semi-supervised clustering: application to image segmentation�,
Advances in Data Analysis, R. Decker and H.-J. Lenz (Editors), pp. 39-50, Springer, 2007.

2006:

M. Rabbat, M. Figueiredo, R. Nowak,
"Inferring Network Structure from Co-Occurrences",
Neural Information Processing Systems - NIPS'2006, Vancouver, Canada, 2006.
M. Figueiredo, D. Cheng, and V. Murino,
"Clustering under prior knowledge with application to image segmentation",
Neural Information Processing Systems - NIPS'2006, Vancouver, Canada, 2006.
D. Zhu, M. Rabbat, A. Hero, R. Nowak, M. Figueiredo,
"De novo signaling pathway reconstruction from multiple data sources",
New Research in Signaling Transduction, Nova Publisher, 2006.
M. Figueiredo, J. Bioucas-Dias, J. Oliveira, R. Nowak,
"On total-variation denoising: A new majorization-minimization algorithm and an experimental comparison with wavalet denoising",
IEEE International Conference on Image Processing - ICIP'2006, Atlanta, GA, USA, 2006.
J. Bioucas-Dias, M. Figueiredo, J. Oliveira,
"Adaptive Bayesian/total-variation image deconvolution: A majorization-minimization approach",
European Signal Processing Conference - EUSIPCO'2006, Florence, Italy, 2006.
A. Ferreira,M. Figueiredo,
"Hybrid generative/discriminative training of radial basis function networks",
European Symposium on Artificial Neural Networks - ESANN'2006, pp. 599-604, Bruges, Belgium, 2006.
J. Bioucas-Dias, M. Figueiredo, J. Oliveira,
"Total-variation image deconvolution: A majorization-minimization approach",
IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP'2006, Toulouse, France, 2006.

2005:

M. Figueiredo,
�Bayesian Image Segmentation Using Gaussian Field Priors�,
Fifth International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition � EMMCVPR-2005, St. Augustine, FL, 2005.
J. Nascimento, M. Figueiredo, J. Marques,
"Segmentation and Classification of Human Activities",
British Machine Vision Conference: International Workshop on Human Activity Recognition and Modelling - HAREM 2005, pp. 79-86, Oxford, UK, 2005.
B. Krishnapuram, D. Williams, Y. Xue, L. Carin, M. Figueiredo, A. Hartemink,
"Active Learning of Features and Labels",
Proceedings of the ICML Workshop on Learning With Multiple Views, pp. 43- 50, Bonn, Germany, 2005.
P. Latorre, M. Figueiredo, and G. Peris-Fajarn�s,
"Image segmentation for the application of the Neugebauer color prediction model for inkjet printed ceramic tiles",
Proceedings of the International Conference on Image Analysis and Recognition - ICIAR'2005, Toronto, Canada, 2005.
M. Figueiredo, and R. Nowak,
"A Bound Optimization Approach to Wavelet-Based Image Deconvolution",
IEEE International Conference on Image Processing - ICIP'2005, Genoa, Italy, 2005.
J. Nascimento, M. Figueiredo, and J. Marques,
"Recognition of human activities using space dependent switched dynamical models",
IEEE International Conference on Image Processing - ICIP'2005, Genoa, Italy, 2005.
M. Figueiredo,
"Bayesian image segmentation using wavelet-based priors",
IEEE Computer Society Conference on Computer Vision and Pattern Recognition - CVPR'2005, San Diego, CA, 2005.
D. Pereira-Coutinho and M. Figueiredo,
"Information theoretic text classification using the Ziv-Merhav method",
2nd Iberian Conference on Pattern Recognition and Image Analysis - IbPRIA'2005, Estoril, Portugal, 2005.

2004:

B. Krishnapuram, D. Williams, Y. Xue, A. Hartemink, L. Carin, and M. Figueiredo,
"On semi-supervised classification",
Neural Information Processing Systems - NIPS'2004, Vancouver, Canada, 2004.
C. Beir�o and M. Figueiredo,
"Defect detection in textile images using Gabor filters",
Proceedings of International Conference on Image Analysis and Recognition - ICIAR'2004, Springer Verlag, Lecture Notes in Computer Science, vol. 3212, 2004.

2003:

A. Ferreira and M. Figueiredo,
"Image compression using orthogonalised independent components bases",
Proceedings of the IEEE Neural Networks for Signal Processing Workshop, Toulouse, France, 2003.
S. Jardim and M. Figueiredo,
"Automatic Contour Estimation in Fetal Ultrasound Images",
IEEE International Conference on Image Processing - ICIP'2003, Barcelona, Spain, 2003
A. Ferreira and M. Figueiredo,
"Class-adapted image compression using independent component analysis",
IEEE International Conference on Image Processing - ICIP'2003, Barcelona, Spain, 2003.
A. Martins, P. Aguiar, and M. Figueiredo,
"Navigating in Manhattan: 3D orientation from video without correspondences",
IEEE International Conference on Image Processing - ICIP'2003, Barcelona, Spain, 2003.
M. Bicego, V. Murino, and M. Figueiredo,
"Similarity-based clustering of sequences using hidden Markov models",
International Conference on Machine Learning and Data Mining - MLDM'2003, Springer Verlag, Lecture Notes in Computer Science, vol. 2734, 2003.
A. Ferreira and M. Figueiredo,
"Coding images of specific classes using independent component analysis",
ConfTele'2003 - Portuguese Conference on Telecommunications, Aveiro, Portugal, 2003.
"In�s Simas" best student paper award.
M. Figueiredo, A. K. Jain, and M. Law,
"A Feature selection wrapper for mixtures",
Proceedings of the First Iberian Conference on Pattern Recognition and Image Analysis - IbPRIA, Puerto de Andratx, Spain, 2003.

2002:

M. Figueiredo,
"Unsupervised sparse regression",
D. Denison, M. Hansen, C. Holmes, B. Mallick, and B. Yu (Editors), Nonlinear Estimation and Classification, Lecture Notes in Statistics, vol. 171, Springer Verlag, 2002.
M. Law, A.K.Jain, and M. Figueiredo,
"Feature selection in mixture-based clustering",
Neural Information Processing Systems - NIPS'2002, Vancouver, Canada, 2002.
A. Jalobeanu, R. Nowak, J. Zerubia and M. Figueiredo,
"Satellite and aerial image deconvolution using an EM method with complex wavelets",
IEEE International Conference on Image Processing - ICIP'2002, Rochester, NY, 2002.
M. Figueiredo and R. Nowak,
"Image restoration under wavelet-domain priors: An expectation-maximization approach",
IEEE International Conference on Image Processing - ICIP'2002, Rochester, NY, 2002.
S. Jardim and M. Figueiredo,
"Automatic analysis of fetal echographic images", in
Proceedings of the 12th Portuguese Conference on Pattern Recognition, Aveiro, Portugal, 2002.
M. Figueiredoand R. Nowak, "Wavelet-based adaptive image deconvolution", Proceedings of the 2002 IEEE International Conference on Acoustics, Speech and Signal Processing, Orlando, FL, 2002.

2001:

M. Figueiredo,
"Adaptive sparseness using Jeffreys prior".
Neural Information Processing Systems - NIPS ' 2001, Vancouver, Canada, 2001.
R. Nowak, and M. Figueiredo,
"Fast wavelet-based image deconvolution using the EM algorithm",
Proceedings of the 35th Asilomar Conference on Signals, Systems, and Computers, Monterey, CA, 2001.
M. Figueiredo and A. K. Jain,
"Bayesian Learning of Sparse Classifiers",
IEEE Computer Society Conference on Computer Vision and Pattern Recognition - CVPR'2001, Hawaii, 2001.
U. Ndili, R. Nowak, and M. Figueiredo,
"Coding-theoretic approach to image segmentation", in
IEEE International Conference on Image Processing - ICIP'2001, Thessaloniki, Greece, 2001.
M. Figueiredo and A. K. Jain,
"A New Fast Method for Unsupervised Fitting of Finite Mixture Models",
Recent Developments in Mixture Modelling, Hamburg, Germany, 2001.
U. Ndili, R. Nowak, and M. Figueiredo,
"Coding-theoretic approach to SAR image segmentation",
SPIE 15th Annual International Symposium on Aerospace/Defense Sensing, Simulation, and Controls. Algorithms for Synthetic Aperture Radar Imagery VIII, SPIE vol. 4382, Orlando, FL, 2001.
U. Ndili, R. Nowak, R. Baraniuk, H. Choi, and M. Figueiredo,
"Coding-theoretic approach to segmentation and a robust CFAR detector for LADAR images",
SPIE 15th Annual International Symposium on Aerospace/Defense Sensing, Simulation, and Controls. Algorithms for Synthetic Aperture Radar Imagery VIII, SPIE vol. 4382, Orlando, FL, 2001.

2000:

M. Figueiredo, A. K. Jain,
"Unsupervised Selection and Estimation of Finite Mixture Models",
Proceedings of the International Conference on Pattern Recognition - ICPR'2000, vol. 2, pp. 87-90, Barcelona, 2000.
M. Figueiredo,
"On Gaussian Radial Basis Function Approximations: Interpretation, Extensions, and Learning Strategies",
Proceedings of the International Conference on Pattern Recognition - ICPR'2000, vol. 2, pp. 618-621, Barcelona, 2000.
R.Nowak, and M. Figueiredo,
"Unsupervised segmentation of Poisson data",
Proceedings of the International Conference on Pattern Recognition - ICPR'2000, vol. 3, pp. 159-162, Barcelona, 2000.
R. Cunha,M. Figueiredo, and C. Silvestre,
"Simultaneous Compression and Denoising of Side Scan Sonar Images Using the Discrete Wavelet Transform",
IEEE/MTS Oceans 2000 Conference, Providence, RI, 2000.
V. Venkatachalam, R. D. Nowak, R. G. Baraniuk, and M. Figueiredo,
"Unsupervised SAR image segmentation using recursive partitioning�,
SPIE 14th Annual International Symposium on Aerospace/Defense Sensing, Simulation, and Controls. Algorithms for Synthetic Aperture Radar Imagery VII, SPIE vol. 4053, Orlando, FL, 2000.

20-th Century:

M. Figueiredo, J. Leit�o, and A.K.Jain,
"On Fitting Mixture Models",
Energy Minimization Methods in Computer Vision and Pattern Recognition, pp. 54 - 69, Lecture Notes in Computer Science, vol. 1654, Springer Verlag, 1999.
R.Nowak, and M. Figueiredo,
"Unsupervised progressive parsing of Poisson fields using minimum description length criteria",
IEEE International Conference on Image Processing - ICIP'99, Kobe, Japan,vol. II, pp. 26-29, 1999.
M. Figueiredo and R.Nowak,
"Bayesian wavelet-based image estimation using non-informative priors",
SPIE Conference on Mathematical Modeling, Bayesian Estimation, and Inverse Problems, SPIE vol. 3816, pp. 97-108, 1999.
A. Vailaya, M. Figueiredo, A. K. Jain, and H. Jiang Zhang,
"Content-based Hierarchical Classification of Vacation Images",
IEEE International Conference on Multimedia Computing and Systems - ICMSC'99, pp. 518 - 523, Florence, Italy, 1999.
A. Vailaya, M. Figueiredo, A. K. Jain, and H. Jiang Zhang,
"A Bayesian Framework for Classification of Vacation Images"
SPIE Conference Electronic Imaging '99, SPIE vol. 5636, pp. 415-426, San Jose (CA), 1999.
M. Figueiredo and R. Nowak,
"Bayesian wavelet-based signal estimation using non-informative priors",
Asilomar Conference on Signals, Systems, and Computers, pp. 1368 - 1373, Monterey, 1998.
M. Figueiredo, J. Leit�o and A. K. Jain,
"Adaptive B-splines and boundary estimation",
IEEE Computer Society Conference on Computer Vision and Pattern Recognition - CVPR'97, pp. 724-729, Puerto Rico, 1997.
M. Figueiredo, J. Leit�o and A.K.Jain,
"Adaptive parametrically deformable contours",
Energy Minimization Methods in Computer Vision and Pattern Recognition - EMMCVPR'97, pp. 35-50, Lecture Notes in Computer Science, vol. 1223, Springer Verlag, 1997.
M. Figueiredo and J. Leit�o,
"Unsupervised contour estimation",
IEEE International Conference on Image Processing - ICIP'96, vol. I, pp. 821-824, Lausanne, Switzerland, 1996.
N. Gracias, J. Lima, M. Figueiredo, and A. Fred,
"Adaptive contour estimation using genetic algorithms",
IEEE International Conference on Systems, Man, and Cybernetics - SMC'96, pp. 2265-2269, Beijing, China, 1996.
J. Leit�o and M. Figueiredo,
"Interferometric image reconstruction as a nonlinear Bayesian estimation problem",
IEEE International Conference on Image Processing - ICIP'95, Washington DC, vol.II, pp. 453-456, 1995.
M. Figueiredo and J. Leit�o,
"Adaptive edge detection in compound Gauss-Markov random fields using the minimum description length principle",
IEEE Information Theory Society Workshop on Information Theory and Statistics, Alexandria, VA, p. 62, 1994.
M. Figueiredo and J. Leit�o,
"Adaptive discontinuity location in image restoration",
First IEEE International Conference on Image Processing - ICIP'94, Austin (TX), pp. 665-669, 1994.
M. Figueiredo and J. Leit�o,
"Simulated tearing: an algorithm for discontinuity-preserving visual surface reconstruction",
IEEE Computer Society Conference on Computer Vision and Pattern Recognition - CVPR'93, pp. 28-33, New York, 1993.
M. Figueiredo and J. Leit�o,
"An unbiased technique for automatic estimation of vessel contours in angiograms",
IEEE Nuclear Science Symposium & Medical Imaging Conference - NSS&MIC'93, pp. 1251-1255, S.Francisco, CA, 1993.
M. Figueiredo and J. Leit�o ,
"Image restoration using a standard Hopfield neural network",
Image Processing: Theory and Applications, G. Vernazza, A. Venetsanopoulos e C. Branccini (Editors), pags. 447-451, Elsevier, 1993.
M. Figueiredo and J. Leit�o,
"Image restoration using neural networks",
Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP'92, vol. II, pags. 409-412, S. Francisco, CA, 1992.
M. Figueiredo and J. Leit�o,
"Signal estimation using a standard Hopfield neural network'',
Acoustic Signal Processing for Ocean Exploration, J. Moura e I. Lourtie (Editors), pp. 453-458, Kluwer, 1992.
M. Figueiredo and J. Leit�o,
"Sequential and parallel iterative image restoration",
Treiz�me Colloque GRETSI, Juan les Pins, France, 1991.

Invited talks, tutorials, and seminars(last updated in 2014).

"Some Advances on the Use of ADMM in Imaging: Non-Periodic and Blind Deconvolution",
First French-German Mathematical Image Analysis Conference (FGMIA-14), Paris, France, January 2014.
"Alternating Direction Optimization for Imaging and Machine Learning Problems" (plenary talk),
Fifth IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Saint Martin, December 2013.
"Sparse Optimization and Applications to Information Processing" (Summer course, with Stephen J. Wright; slides available here),
International Conference on Continuous Optimization - ICCOPT'2013, Lisbon, Portugal, July 2013.
"Alternating direction optimization for imaging inverse problems" (invited talk),
CIMI Workshop on Optimization and Statistics in Image Processing, Toulouse, France, June 2013.
"Convex and Non-convex Approaches for Low-dimensional Models" (tutorial, with Volkan Cevher)
IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP, Kyoto, Japan, March 2012.
"Structured Sparsity in Natural Language Processing: Models, Algorithms and Applications", (tutorial, with Andr� Martins and Noah Smith)
The 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Montreal, Canada, 2012.
"On the use of alternating direction optimization for imaging inverse problems" (invited talk),
Duke Workshop on Sensing and Analysis of High-Dimensional Data - SAHD, Durham, NC, USA, 26-28, 2011.
"On the use of alternating direction optimization for imaging inverse problems" (invited talk),
Symposium on Variational Image Analysis - VIA11, Heidelber, Germany, 2011.
"Alternating direction optimization for imaging inverse problems with sparsity-inducing regularization" (invited talk),
Dagsthul Seminar on Sparse Representations and Efficient Sensing of Data, Dagstuhl, Germany, 2011.
�Network inference� (plenary talk),
XVIII Annual Congress of the Portuguese Statistical Society � SPE�2010, S. Pedro do Sul, Portugal, 2010.
�Alternating direction optimization for fast solution of imaging inverse problems"
Seminar, Department of Mathematics and Department of Electronic Engineering, Chinese University of Hong Kong, 2010.
�Removing non-additive noise using variable splitting and augmented lagrangian optimization� (plenary talk),
Summer School and Workshop on Imaging Sciences and Medical Applications, Coimbra, Portugal, 2010.
�Recent Developments (and Some History) in Iterative Thresholding Algorithms� (plenary talk),
8th International Conference on Sampling Theory and Applications - SAMPTA'09, Marseille, France, 2009.
�Recent advances in iterative shrinkage/thresholding",
Approximation and Optimization in Image Restoration and Reconstruction (invitation only workshop), Ile de Porquerolles, France, 2009.
�Recent developments (and some history) in iterative thresholding algorithms�,
Harmonic Analysis and Signal Processing Seminar, New York University, 2009.
�Recent advances in iterative shrinkage/thresholding algorithms",
Institut National de Recherche en Informatique et en Automatique (INRIA), Sophia Antipolis, France, 2009.
�Non-extensive information theoretic kernels with applications to text classification"
Signal and Information Processing Seminar, Electrical Engineering Department, Columbia University, NY, USA, 2009.
�Iterative Shrinkage/Thresholding Algorithms: Some History and Recent Development� (invited talk),
Compressive-Sensing Workshop, Duke University, Durham, NC, USA, 2009.
�Probabilistic image segmentation without combinatorial optimization,�
invited session on Applications of Probability/Statistics in Imaging, 7th World Congress in Probability and Statistics , Singapore, 2008.
�On Semi-Supervised and Active Learning� (invited talk),
Statistics for Data Mining, Learning, and Knowledge Extraction � IASC�07, Aveiro, Portugal, 2007.
"Semi-supervised Classification and Clustering" (invited talk),
7th International Workshop on Pattern Recognition in Information Systems � PRIS�2007, Funchal, Portugal, 2007.
"On semi-supervised learning" (invited talk),
International Workshop on Multimedia Content Representation, Classification, and Security, Istanbul, Turkey, 2006.
"Semi-supervised classification and clustering" (invited talk),
30th Annual Conference of the German Classification Society, Berlin, 2006.
�Using wavelet-based priors for image segmentation�,
Centre Interfacultaire Bernoulli, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland, 2006.
"Recent advances in wavelet-based image restoration" (invited talk),
5th Portuguese Conference on Telecommunications - ConfTele'2005, 2005.
"Model Selection in Signal, Image, and Pattern Analysis'' ("li��o de s�ntese, provas de agrega��o"),
Instituto Superior T�cnico, 2004.
"Some Model Selection Problems in Image Analysis'' (invited talk),
International Conference on Image Analysis and Recognition - ICIAR'2004, Porto, Portugal, 2004.
"Iterative algorithms for wavelet-based image deconvolution",
Institut National de Recherche en Informatique et en Automatique (INRIA), Sophia Antipolis, France, 2004.
"Feature selection in supervised and unsupervised learning" (invited talk),
UFL Winter Workshop on Data Mining, Statistical Learning, and Bioinformatics, University of Florida, Gainesville, FL, 2004.
�Model and Feature Selection for Finite Mixtures� (invited talk).
Red Tem�tica de Reconocimiento de Formas y sus Aplicaciones, Universitat Jaume I, Puerto de Andratx, Maiorca, Spain, 2003.
"Pattern analysis of microarray data: clustering, selection, classification",
ALGOS Group, INESC-ID (Institute for Systems and Computer Engineering: Research and Development), Lisbon, Portugal, 2003.
"Adaptive Feature Selection for Supervised Learning",
Institut National de Recherche en Informatique et en (INRIA), Sophia AutomatiqueAntipolis, France, 2002.
"Unsupervised learning of mixture models",
Lucent Distinguished Lecture Series, Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, 2001.
"Unsupervised sparse kernel regression",
Department of Electrical and Computer Engineering, Rice University, Houston, TX, 2001.
"On learning mixture models",
Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, 2000.
"On learning mixture models",
Department of Electrical and Computer Engineering, Rice University, Houston, TX, 2000
"Two probabilistic frameworks for deformable contours" (invited talk),
WDM2000 - VISIT Summer School and Workshop on Deformable Models, Gullmarstrand, Sweden, 2000.
"Recursive segmentation of Poisson fields" (invited talk),
U.R.S.I. National Radio Science Meeting, Boulder, CO, 2000.
"Some Model Selection Problems in Image Analysis'' (invited talk),
Statistical Methods for Image Processing, International Statistical Institute and the International Association for Pattern Recognition (IAPR), Uppsala (Sweden), 1999.
"Introduction to Bayesian methods and Markov random fields" (tutorial),
IEEE Computer Society Conference on Computer Vision and Pattern Recognition - CVPR'98, Santa Barbara, CA, USA, 1998.

Professional service

Associate editor and technical committees:
- IEEE Transactions on Signal Processing (Senior Area Editor, 2015 - )
- Associate Editor, SIAM Journal on Imaging Science (2014 - )
- Associate Editor, Journal of Mathematical Imaging and Vision (2014 - )
- Member of the Machine Learning for Signal Processing Technical Committee (MLSP-TC) of the IEEE Signal Processing Society (2013 - )
- Associate Editor, Statistics and Computing (2010 � 2013)
- Member of the IMDSP Technical Committee (2005 - 2010).
- Associate Editor, IEEE Transactions on Image Processing (2000 � 2008)
- Associate Editor, IEEE Transactions on Pattern Analysis and Machine Intelligence (2005 � 2009)
- Associate Editor, Signal Processing (2005 � 2007)
- Associate Editor, Pattern Recognition Letters (2001 � 2006)
- Associate Editor, IEEE Transactions on Mobile Computing (2001 � 2004)
Guest co-editor:
- Special Issue on �Compressive Sensing�, IEEE Journal of Selected Topics in Signal Processing
  (the other guest co-editors were: R. Chartrand, R. Baraniuk, Y. Eldar, and J. Tanner).
- Special issue on "Machine Learning Methods in Signal Processing",
  IEEE Transactions on Signal Processing, vol. 52, no. 8, August 2004
  (the other guest co-editors were: M. Feder, A. Hero, C. Lee, H. Loeliger, R. Nowak, A. Singer, and B. Yu).
- Special issue on "Energy Minimization Methods in Computer Vision and Pattern Recognition",
  IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, no. 11, 2003, and vol. 26, no. 2, 2004
  (the other guest co-editors were: M. Pelillo, E. Hancock, and J. Zerubia).
Chairing and organization:
- First International Workshop on Similarity-Based Patter Recognition - SIMBAD'2011, Venice, Italy, September 28-30, 2011.
- Lisbon Machine Learning School - LxMLS'2011, Lisbon, Portugal, July 20-25, 2011.
- Track Co-chair (Track II: Pattern Recognition and Machine Learning),
  International Conference on Pattern Recognition (ICPR�2010), Istanbul, Turkey, 2010.
- Co-chair,Fourth Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'2003), Lisboa, Portugal, 2003.
- Co-chair:Third Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR'2001), Sophia Antipolis, France, 2001.
- Local chair: Joint IAPR International Workshops on Syntactical and Structural Pattern Recognition and Statistical Pattern Recognition (SSPR 2004 & SPR 2004), Lisboa, Portugal, 2004.

Contact information:

M�rio A. T. Figueiredo
Instituto de Telecomunica��es
Instituto Superior T�cnico
Torre Norte, Piso 10
Av. Rovisco Pais
1049-001 Lisboa
PORTUGAL

Tel.: + 351 218418464
Fax.: + 351 218418472