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Research areas Publications Graduate Students Professional service Invited talks Contact information

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Degrees

• "Agregação” , Electrical and Computer Engineering (2004),
  Instituto Superior Técnico (IST), Technical University of Lisbon.

• Ph.D., Electrical and Computer Engineering (1994),
  Instituto Superior Técnico (IST), Technical University of Lisbon.

• M.Sc., Electrical and Computer Engineering (1990),
  Instituto Superior Técnico (IST), Technical University of Lisbon.

• Electrical and Computer Engineer (1986),
  Instituto Superior Técnico (IST), Technical University of Lisbon.

Positions

• Associate Professor (with “agregação”),
  Department of Electrical and Computer Engineering, Instituto Superior Técnico (IST)
• Co-coordinator of the Networks and Multimedia Research Area, Instituto de Telecomunicações

Professional Societies

• Fellow of the IEEE (Institute of Electrical and Electronics Engineers), 01/01/2010.
• Fellow of the IAPR (International Association of Pattern Recognition), 01/01/2009.
• Senior Member of the IEEE (Institute of Electrical and Electronics Engineers), 01/01/2001.

Teaching

• Data coding and compression (Compressão e Codificação de Dados - CCD), Winter semester 2009/2010.

• Statistical Learning, Spring semester, 2010.
  

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Current Research Areas

• Image/signal processing/analysis and computer vision
• Image restoration (denoising, deconvolution)
• Image segmentation
• Wavelet-based methods
• Compressed sensing

• Pattern recognition / machine learning
• Unsupervised learning
• Kernel-based methods
• Feature selection
• Model selection
• Semi-supervised learning

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PhD and MSc Students (former and current)

· André Martins

· Artur Ferreira

· Cláudia Silvestre

· David Pereira Coutinho

· João Pedro Oliveira

· Manya Afonso

· Maria do Céu Beirão

· Marta Lopes

· Miguel Pacheco

· Miguel Pontes

· Sandra Jardim

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Publications: edited books,   journal papers,   conference papers,   invited talks

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 redistribution to servers or lists, or
to reuse any copyrighted component of this work in other works must be obtained from the IEEE.”

Edited books

• 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.

• 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.

Journal papers

• M. Figueiredo and J. Bioucas-Dias, “Restoration of Poissonian images using alternating direction optimization”,
  Submitted to the IEEE Transactions on Image Processing, 2010. Available at http://arxiv.org/abs/1001.2244

• M. Afonso, J. Bioucas-Dias, M. Figueiredo, “An augmented Lagrangian approach to the constrained optimization formulation of imaging inverse problems”,
  Submitted to the IEEE Transactions on Image Processing, 2009. Available at http://arxiv.org/abs/0912.3481
  MATLAB code available at http://cascais.lx.it.pt/~mafonso/salsa.html

• J. Bioucas-Dias and M. Figueiredo, “Multiplicative noise removal using variable splitting and constrained optimization”,
  Submitted to the IEEE Transactions on Image Processing, 2009. Available at http://arxiv.org/abs/0912.1845

• M. Afonso, J. Bioucas-Dias, M. Figueiredo, “Fast image recovery using variable splitting and constrained optimization”,
  Submitted to the IEEE Transactions on Image Processing, 2009. Available at http://arxiv.org/abs/0910.4887
  MATLAB code available at http://cascais.lx.it.pt/~mafonso/salsa.html

• 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, 2009 (accepted).

• 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, 2009 (accepted).

• 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, “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 Heptodin^TM tablets by near-infrared chemical imaging and least squares estimation”,
  Analytica Chimica Acta, vol. 641, issues 1-2, pp. 46-51, 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.

• 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 – PAMI, 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 - PAMI,  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 - PAMI, 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 - PAMI, vol. 26, no. 9, pp. 1154-1166, September 2004.

• M. Figueiredo, "Adaptive sparseness for supervised learning",
  IEEE Transactions  on Pattern Analysis and Machine Intelligence - PAMI, 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.

• M. Figueiredo and A.K.Jain, "Unsupervised learning of finite mixture models", 
  IEEE Transactions  on Pattern Analysis and Machine Intelligence - PAMI, vol. 24, no. 3, pp. 381-396, March 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. Leitão,  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. Leitão 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. Leitão, "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. Leitão, "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. Leitão, "Sequential and parallel image restoration: Neural network implementations",
  IEEE Transactions on Image Processing, vol. 3, pp. 789-802, November 1994.

• M. Figueiredo and J. Leitão, "Bayesian estimation of ventricular contours in angiographic images",
  IEEE Transactions on Medical Imaging, vol. 11, no.3, pp. 416-429, 1992.

Papers in conference/workshop proceedings and edited books

2010:

· J. Bioucas-Dias and M. Figueiredo, “Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing”,
submitted, 2010. Available at http://arxiv.org/abs/1002.4527

· 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 (accepted). Available at http://arxiv.org/abs/0909.3947v1

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. Available at http://arxiv.org/abs/0904.4872

· 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. Available at http://arxiv.org/abs/0904.4868

· 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. Available at http://arxiv.org/abs/0903.4162

· 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. Long version available at http://arxiv.org/abs/0903.4251

· 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”,
  35^th 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,”
  14^th 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,”
  6^th Conference on Telecommunications - ConfTele’2007, Peniche, Portugal, 2007.

• A. Ferreira, M. Figueiredo, “Boosting of (very) weak learners,”
  6^th 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, pp. 39-50, Springer, 2007.

2006:

• M. Rabbat, M. Figueiredo, R. Nowak, "Inferring Network Structure from Co-Occurrences",
  NIPS'2006, Vancouver, Canada, 2006.

• M. Figueiredo, D. Cheng, and V. Murino, "Clustering under prior knowledge with application to  image segmentation",
  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, 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-Fajarnés, "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",
  NIPS'2004, Vancouver, Canada, 2004.

• C. Beirão 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.
  This paper received the "Inês 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, 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",
  Proceedings of the 2002 IEEE International Conference on Image Processing, Rochester, NY,  2002.

• M. Figueiredo and R. Nowak, "Image restoration under wavelet-domain priors: An expectation-maximization approach",
  Proceedings of the 2002  IEEE International Conference on Image Processing, 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. Figueiredo and 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
  Proceedings of the 2001 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",
  Proceedings of the 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",
  Proceedings of the 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. T. Figueiredo, ``Unsupervised SAR image segmentation using recursive partitioning”,
  Proceedings of the 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. Leitão,  and A.K.Jain, "On Fitting Mixture Models", in E. Hancock and M. Pellilo (Editors),
  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",
  Proceedings of the 1999 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",
  Proceedings of the 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",
  Proceedings  of the IEEE International Conference on Multimedia Computing  and Systems (ICMSC), 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"
  Proceedings of the 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",
  Proceedings of the Asilomar Conference on Signals, Systems, and Computers, pp. 1368 - 1373,  Monterey,  1998.

• M. Figueiredo, J. Leitão 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. Leitão and A.K.Jain, "Adaptive parametrically deformable contours",
  M. Pellilo and E. Hancock (Editors), Energy Minimization Methods in Computer Vision and Pattern Recognition, pp. 35-50,  Lecture Notes in Computer Science, vol. 1223, Springer Verlag, 1997.

• M. Figueiredo and J. Leitão, "Unsupervised contour estimation",
  Proceedings of the 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, pp. 2265-2269, Beijing, China, 1996.

• J. Leitão and M. Figueiredo, "Interferometric image reconstruction as a nonlinear Bayesian estimation problem",
  Proceedings of the 1995 IEEE International Conference on Image Processing - ICIP'95, Washington DC, vol.II, pp. 453-456, 1995.

• M. Figueiredo and J. Leitão, "Adaptive edge detection in compound Gauss-Markov random fields using the minimum description length principle",
  Proceedings of the IEEE Information Theory Society Workshop on Information Theory and Statistics, Alexandria, VA, p. 62, 1994.

• M. Figueiredo and J. Leitão, "Adaptive discontinuity location in image restoration",
  Proceedings of the First IEEE International Conference on Image Processing - ICIP'94, Austin (TX), pp. 665-669, 1994.

• M. Figueiredo and J. Leitão, "Simulated tearing: an algorithm for discontinuity-preserving visual surface reconstruction",
  Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition - CVPR'93, pp. 28-33, New York, 1993.

• M. Figueiredo and J. Leitão, "An unbiased technique for automatic estimation of vessel contours in angiograms",
  Proceedings of the IEEE Nuclear Science Symposium & Medical Imaging Conference, pp. 1251-1255, S.Francisco, CA, 1993.

• M. Figueiredo and J. Leitão , "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. Leitão, "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. Leitão, "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.

Recent and upcoming invited talks, tutorials, and seminars.

• M. Figueiredo, “Recent Developments (and Some History) in Iterative Thresholding Algorithms” (plenary talk),
  8th International Conference on Sampling Theory and Applications - SAMPTA'09, Marseille, France, 2009.

• M. Figueiredo, “Iterative Shrinkage/Thresholding Algorithms: Some History and Recent Development” (invited talk),
  Compressive-Sensing Workshop, Duke University, Durham, NC, USA, 2009.

• M. Figueiredo, “Probabilistic image segmentation without combinatorial optimization,”
  invited session on Applications of Probability/Statistics in Imaging, 7th World Congress in Probability and Statistics, Singapore, 2008.

• M. Figueiredo, “On Semi-Supervised and Active Learning” (invited talk),
  Statistics for Data Mining, Learning, and Knowledge Extraction – IASC’07, Aveiro, Portugal, 2007.

• M. Figueiredo, "Semi-supervised Classification and Clustering" (invited talk),
  7^th International Workshop on Pattern Recognition in Information Systems – PRIS’2007, Funchal, Portugal, 2007.

• M. Figueiredo, "On semi-supervised learning" (invited talk),
  International Workshop on Multimedia Content Representation, Classification, and Security, Istanbul, Turkey, 2006.

• M. Figueiredo,  "Semi-supervised classification and clustering" (invited talk),
  30th Annual Conference of the German Classification Society, Berlin, 2006.

• M. Figueiredo, “Using wavelet-based priors for image segmentation”,
  Centre Interfacultaire Bernoulli, Ecole Polytechnique Federale de Lausanne (EPFL), Switzerland, 2006.

• M. Figueiredo and J. Bioucas Dias, "Recent advances in wavelet-based image restoration" (invited talk),
  5th Conference on Telecommunications - ConfTele'2005, 2005.

• M. Figueiredo, "Model Selection in Signal, Image, and Pattern Analysis'' ("lição de síntese, provas de agregação"),
  Instituto Superior Técnico, 2004.

• M. Figueiredo, "Some Model Selection Problems in Image Analysis'' (invited talk),
  International Conference on Image  Ananlysis and Recognition - ICIAR'2004, Porto, Portugal, 2004.

• M. Figueiredo, "Iterative algorithms for wavelet-based image deconvolution", 
  Institut National de Recherche en Informatique et en Automatique (INRIA), Sophia Antipolis, France, 2004.

• M. Figueiredo, "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.

• M. Figueiredo, “Model and Feature Selection for Finite Mixtures” (invited talk).
  Red Temática de Reconocimiento de Formas y sus Aplicaciones, Universitat Jaume I, Puerto de Andratx, Maiorca, Spain, 2003.

• M. Figueiredo, "Pattern analysis of microarray data: clustering, selection, classification",
  ALGOS Group, INESC-ID (Institute for Systems and Computer Engineering: Research and Development), Lisbon, Portugal, 2003.

• M. Figueiredo, "Adaptive Feature Selection for Supervised Learning", 
  Institut National de Recherche en Informatique et en (INRIA), Sophia AutomatiqueAntipolis, France, 2002.

• M. Figueiredo, "Unsupervised learning of mixture models",
  Lucent Distinguished Lecture Series, Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI,  2001.

• M. Figueiredo, "Sparse regression using non-informative priors",
  Department of Electrical and Computer Engineering, Rice University, Houston, TX, 2001.

• M. Figueiredo, "On learning mixture models",
  Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, 2000.

• M. Figueiredo, "On learning mixture models",
  Department of Electrical and Computer Engineering, Rice University, Houston, TX, 2000.

• M. Figueiredo, "Two probabilistic frameworks for deformable contours" (invited talk),
  WDM2000 - VISIT Summer School and Workshop on Deformable Models, Gullmarstrand, Sweden, 2000.

• M. Figueiredo , "Recursive segmentation of Poisson fields" (invited talk),
  U.R.S.I. National Radio Science Meeting,  Boulder, CO, 2000.

• M. Figueiredo , "Some Model Selection Problems in Image Analysis'' (invited talk),
  Statistical Methods for Image Processing, sponsored by the International Statistical Institute  (ISI) and the International Association for Pattern Recognition (IAPR),  Uppsala (Sweden), 1999.

• M. Figueiredo, "Introduction to Bayesian methods and Markov random fields",
  tutorial presented at  the 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - CVPR'98, Santa Barbara, CA (USA), 1998.

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Professional service

• Member of the IEEE IMDSP Technical Committee (2005 - present).

• Associate editor:
• IEEE Transactions on Image Processing  (2000-2008)
• IEEE Transactions on  Pattern Analysis and  Machine  Intelligence (2005-present)
• Signal Processing (2005-2007)
• Pattern Recognition Letters (2001-2006)
• IEEE Transactions on Mobile Computing (2001-2004)

• Guest  co-editor:
• Special Issue on “Compressive Sensing”, IEEE Journal of Selected Topics in Signal Processing
  (other guest co-editors: 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
  (other guest co-editors: 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, November 2003, and vol. 26, no. 2, February 2004
  (other guest co-editors: M. Pelillo, E. Hancock, and J. Zerubia).

• Chair:
• 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.

• Recent program/scientific committees and reviewing for international conferences (2005 - 2009):
  
  
• 2009 - Neural Information Processing Systems: Natural and Synthetic – NIPS’2009
• 2009 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition – CVPR’2009
• 2008 - IEEE International Conference on Image Processing – ICIP’2009
• 2009 - 2009 IEEE International Geoscience & Remote Sensing Symposium – IGARSS’2009
• 2009 - Workshop on Signal Processing with Adaptive Sparse Structured Representations – SPARS’09
• 2009 - IAPR Workshop on Graph-based Representations in Pattern Recognition – GbR’09
• 2009 - IEEE International Conference on Acoustics, Speech, and Signal Processing – ICASSP’2009
• 2009 - 1st International Conference on Imaging Theory and Applications - IMAGAPP’2009
  
  
• 2008 - NIPS Workshop on Cost-Sensitive Learning – CSL’08
• 2008 - 2008 IAPR Workshop on Cognitive Information Processing – CIP’2008
• 2008 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition - CVPR'2008
• 2008 - International Conference on Computational Statistics – COMPSTAT’2008
• 2008 - IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP’2008
• 2008 - IEEE International Conference on Image Processing - ICIP'2008
• 2008 - International Conference on Image Analysis and Recognition - ICIAR'2008
  
  
• 2007 - International Conference on Machine Learning – ICML’2007,
• 2007 - 5th Int. Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition - EMMCVPR'2007
• 2007 - IEEE International Conference on Image Processing - ICIP'2007
• 2007 - International Conference on Image Analysis and Recognition - ICIAR'2007
• 2007 - Pattern Recognition in Information Systems – PRIS’07
• 2007 - IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP’2007
• 2007 - Third Iberian Conference on Pattern Recognition and Image Analysis - IbPRIA'2007,
• 2007 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition - CVPR'2007
  
  
• 2006 - IEEE Workshop on Machine Learning for Signal Processing - MLSP'2006
• 2006 - IEEE International Conference on Image Processing - ICIP'2006,
• 2006 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition - CVPR'2006
• 2006 - European Conference on Computer Vision - ECCV'2006
• 2006 - IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP'2006
  
  
• 2005 - Neural Information Processing Systems: Natural and Synthetic - NIPS'2005
• 2005 - Fifth International Workshop on Energy Minimization Methods in Computer Vision and Pattern Recognition - EMMCVPR'2005
• 2005 - IEEE International Workshop on Machine Learning for Signal Processing - MLSP'2005
• 2005 - International Conference on Image Analysis and Recognition - ICIAR'2005
• 2005 - IEEE International Conference on Acoustics, Speech, and Signal Processing - ICASSP'2005,
• 2005 - IEEE International Conference on Image Processing - ICIP'2005,
• 2005 - International Joint Conference on Neural Networks - IJCNN'2005,
• 2005 - Second Iberian Conference on Pattern Recognition and Image Analysis - IbPRIA'2005,
• 2005 - IEEE Computer Society Conference on  Computer Vision and Pattern Recognition - CVPR'2005,

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Contact information:

Mário A. T.  Figueiredo
Instituto de Telecomunicações
Instituto Superior Técnico
Torre Norte, Piso 10
Av. Rovisco Pais
1049-001  Lisboa
PORTUGAL

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

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Last update: October 2009.