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Publications     Graduate Students    Events     Professional service       Invited talks      Contact information

  Degrees:

• EE (1986), MSc (1990), PhD (1994) and "Agregação” (2004),
  all in Electrical and Computer Engineering, Instituto Superior Técnico (IST), Technical University of Lisbon.
   

Current Research Areas:

• Image/signal processing/analysis and computer vision

• Image restoration (denoising, deconvolution)

• Image segmentation

• Wavelet-based methods

• Compressed sensing

• Optimization

• Pattern recognition / machine learning

• Unsupervised learning

• Kernel-based methods

• Feature selection

• Model selection

• Semi-supervised learning

 

 Current and former students, post-docs, and visitors:

• André Martins

• Anna Caterina Carli

• Artur Ferreira

• Bruno Afonso

• Cláudia Silvestre

• David Pereira Coutinho

• Dong Seon Cheng

• João Pedro Oliveira

• Jose Antonio Guerrero-Colon

• Manuele Bicego

• Manya Afonso

• Maria do Céu Beirão

• Mariana Almeida

• Marta Lopes

• Miguel Pacheco

• Miguel Pontes

• Paulo Ferreira

• Pedro Latorre Carmona

• Sandra Jardim

• Zeng Xiangrong

Publications:

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
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.

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.
   

• 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.
   

• 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. 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

2011    2010    2009    2008   2007   2006   2005   2004   2003   2002   2001   2000   20th-Century

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. 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. Lourenço, 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. Barão,
  "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-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",
  Neural Information Processing Systems - 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.
  "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 - 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. 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
  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. Leitão,  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. 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",
  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. Leitão,
  "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. Leitão 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. Leitão,
  "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. Leitão,
  "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. Leitão,
  "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. Leitão,
  "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. 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.
   

• M. Figueiredo and J. Leitão,
  "Sequential and parallel iterative image restoration",
  Treizème Colloque GRETSI, Juan les Pins, France, 1991.
   

Invited talks, tutorials, and seminars.

• "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.
   

• "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'' ("lição de síntese, provas de agregação"),
  Instituto Superior Técnico, 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 Temática 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:

• Statistics and Computing (2010 – present)

• Member of the IEEE IMDSP Technical Committee (2005 - 2010).

• IEEE Transactions on Image Processing  (2000 – 2008)

• IEEE Transactions on  Pattern Analysis and  Machine  Intelligence (2005 – 2009)

• 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
  (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:

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