Mário A. T. Figueiredo
IEEE Fellow and IAPR Fellow
My Google Scholar profile is here
My papers at DBLP are here
Publications Graduate Students Events Professional service Invited talks and Tutorials 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.
Positions:
Full Professor, Department of Electrical and Computer Engineering, Instituto Superior Técnico (IST).
Co-coordinator (with R. Valadas), Networks and Multimedia Research Area, Instituto de Telecomunicações.
Group coordinator,
Pattern and
Image Analysis,
Instituto de
Telecomunicações
Professional societies and awards:
2011 IEEE Signal Processing Society Best Paper Award (this paper).
Fellow of the IEEE (Institute of Electrical and Electronics Engineers), since 2010.
Fellow of the IAPR (International Association of Pattern Recognition), since 2009.
Best Paper Award, Iberian Conf. on Pattern Recognition and Image Analysis – IbPRIA’2007, Girona, Spain, 2007 (this paper).
Student Paper Honorable Mention, Neural Information Processing Systems - NIPS 2006, Vancouver, Canada, 2006 (this paper).
Inês Simas Memorial Best Paper Award, Fourth Conference on Telecommunications, ConfTele’2003, Aveiro, Portugal, 2003 (this paper).
1995
IBM Scientific
Prize (for work on unsupervised image restoration).
Recent and upcoming talks and other events:
Third Lisbon Machine Learning School (LxMLS
2013), Lisbon, Portugal, July 2013.
"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"
(jointly with Stephen
Wright),
Summer course,
Fourth International Conference on Continuous Optimization (ICCOPT),
Lisbon, July 2013.
"Alternating
direction optimization for imaging inverse problems" (invited talk),
CIMI Workshop on Optimization and Statistics in Image Processing,
Toulouse, France, June 2013.
"Sparsity and Structured Sparsity in Machine Learning",
Plenary talk, Second International
Conference on Pattern Recognition Applications and Methods (ICPRAM),
Barcelona, February 2013.
Current teaching:
Data coding and compression (Compressão e Codificação de Dados), Winter semester 2012/2013.
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:
Anna Caterina Carli
Bruno Afonso
Cláudia Silvestre
Dong Seon Cheng
Jose Antonio Guerrero-Colon
Maria do Céu Beirão
Miguel Pacheco
Miguel Pontes
Paulo Ferreira
Sandra Jardim
Zeng Xiangrong
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.”
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.
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.
A.
Lourenço, S. Rota Bulò, N. Rebagliati, A. Fred, M. Figueiredo, M.
Pelillo,
"Probabilistic consensus clustering using evidence
accumulation",
Machine Learning, accepted, 2013.
D. Pereira
Coutinho, H. Silva, A. Fred, M. Figueiredo,
"Novel fiducial
and non-fiducial approaches to ECG-based biometric systems",
IET Biometrics, accepted, 2013.
A. Carli,
M. Figueiredo, M. Bicego, V. Murino,
"Generative
embeddings based on Rician mixtures for kernel-based classification of
magnetic resonance images",
Neurocomputing,
accepted, 2013.
A. Ferreira,
M. Figueiredo,
"Incremental filter and wrapper approaches
for feature discretization",
Neurocomputing,
accepted, 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,
accepted, 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.
Martins, M. Figueiredo, P. Aguiar, N. Smith, E. Xing,
"Alternating direction dual decomposition",
submitted; available at
http://arxiv.org/abs/1212.6550
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.
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.
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.
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
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 conferences/workshops and edited books
2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 20th-Century
2013:
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.
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.
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.
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.
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.
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.
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.
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,
"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.
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.
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.
"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),
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
André 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'' ("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.
Lecture Notes (written for courses that I teach or have taught):
"Elementos
de Teoria da Informação" (in Portuguese)
Statistics and Computing (2010 – present)
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)
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).
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
