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| Mário A. T. Figueiredo |
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Publication records: Google scholar, Semantic Scholar, ReseacherID, Scopus, ORCID, DBLP
Publications Graduate Students Professional service Invited talks and Tutorials Contact information
Positions:
IST
Distinguished Professor, Department
of
Electrical and Computer Engineering,
Instituto
Superior Técnico (IST).
Coordinator, Information and Data Science
Thematic Line, Instituto de Telecomunicações.
Coordinator, Pattern
Recognition and Automatic Learning research cluster,
Instituto de Telecomunicações
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    |
Current and former students, post-docs, and other collaborators:
WARNING: the publications list in this page is
no longer updated; please see my
Google scholar page.
edited books, guest-edited special issues, journal papers, conference papers, invited talks, lecture notes
The following copyright notice
applies to papers that have appeared (or will appear) in IEEE
publications:
“©1992-2007 IEEE. Personal use of this material is permitted.
However, permission to reprint/republish
this material for advertising or promotional purposes or for
creating new collective works for resale or
redistribution to servers or lists, or to reuse any copyrighted
component of this work in other works
must be obtained from the IEEE.”
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. Carli, M.
Figueiredo, M. Bicego, V. Murino,
"Generative
embeddings
based on Rician mixtures for kernel-based
classification of magnetic resonance images",
Neurocomputing,
vol. 123, pp. 49-59, January 2014.
A.
Ferreira, M. Figueiredo,
"Incremental
filter
and wrapper approaches for feature discretization",
Neurocomputing,
vol. 123, pp. 60-74, January 2014.
D.
Pereira
Coutinho, H. Silva, A. Fred, M. Figueiredo,
"Novel fiducial and non-fiducial
approaches to ECG-based biometric systems",
IET Biometrics, vol. 2, issue 2, pp. 64-75, 2013.
M.
Bicego, A. Ulas, U. Castellani, A. Perina, V.
Murino, A. Martins, P. Aguiar, M. Figueiredo,
"Combining
information
theoretic kernels with generative embeddings for
classification",
Neurocomputing,
vol. 101, pp. 161-169, 2013.
M. Almeida,
M. Figueiredo,
"Deconvolving images with unknown boundaries using the
alternating direction method of multipliers",
IEEE
Transactions on Image Processing, vol. 22, no. 8, pp.
3084-3096, 2013 (available at http://arxiv.org/abs/1210.2687)
M. Almeida, M.
Figueiredo,
"Parameter
estimation
for blind and non-blind deblurring using residual
whiteness measures",
IEEE
Transactions on Image Processing, vol. 22, no. 7, pp.
2751-2763, 2013.
MATLAB code available here
J. Nascimento,
M. Figueiredo, J. Marques,
"Activity
recognition
using mixture of vector fields",
IEEE
Transactions on Image Processing, vol. 22, no. 5,
pp. 1712-1725, 2013.
A. Carreiro, A.
Ferreira, M. Figueiredo, S.
Madeira,
"Towards
a
classification approach using meta-biclustering:
impact of discretization in the analysis of expression
time series",
Journal of
Integrative Bioinformatics, vol. 9, issue 3,
2012.
A.
Ferreira, M. Figueiredo,
"Efficient
feature
selection filters for high dimensional data",
Pattern Recognition Letters, vol. 33, issue 13,
pp. 1794-1804, 2012.
A.
Ferreira, M. Figueiredo,
"An
unsupervised
approach to unsupervised feature discretization",
Pattern Recognition, vol. 45, issue 9, pp.
3048-3060, 2012.
M. B. Lopes, J.-C. Wolff,
J. Bioucas-Dias, M.
Figueiredo,
"Study on the effect of pixel resolution
and blending grade on near-infrared hyperspectral
unmixing of tablets",
Applied Spectroscopy, vol. 65, no. 2, pp. 36A-52A and
127-241, 2011.
M. Afonso, J. Bioucas-Dias, M.
Figueiredo,
“An augmented Lagrangian approach to
the constrained optimization formulation of imaging
inverse problems”,
IEEE Transactions on Image Processing, vol. 20,
no. 3, pp. 681-695, 2011.
MATLAB code available here
M. B. Lopes, J.-C. Wolff,
J. Bioucas-Dias, M.
Figueiredo,
“Reply to the comments on
“Near-Infrared Hyperspectral Unmixing Based on a
Minimum Volume Criterion for Fast and Accurate
Chemometric Characterization of Counterfeit Tablets”,
Analytical Chemistry, vol. 82, no. 20, pp.
8753-8754, 2010.
M. B. Lopes, J.-C. Wolff,
J. Bioucas-Dias, M.
Figueiredo,
“Quantification
of
components in non-homogenous pharmaceutical tablets
using near infrared reflectance imaging”,
Journal of Near Infrared
Spectroscopy, vol. 18, no. 5, pp.
333-340, 2010.
J. P. Paulo, J.
L. Bento Coelho, M. Figueiredo,
“Statistical classification of road
pavements using on-vehicle noise measurements”,
Journal of the Acoustical Society
of America, vol. 128, no. 4, pp.
1747-1754, 2010.
M. Figueiredo and J. Bioucas-Dias,
“Restoration of Poissonian images
using alternating direction optimization”,
IEEE Transactions on Image Processing, vol. 19,
no. 12, pp. 3133-3145, 2010.
M. Afonso, J. Bioucas-Dias, M.
Figueiredo,
“Fast image recovery using variable
splitting and constrained optimization”,
IEEE Transactions on Image Processing, vol. 19,
no. 9, 2345 – 2356, 2010.
MATLAB code available here
J. Bioucas-Dias and M.
Figueiredo,
“Multiplicative noise removal using
variable splitting and constrained optimization”,
IEEE Transactions on Image Processing, vol. 19,
no. 7, pp. 1720-1730, 2010.
M. Elad, M. Figueiredo, Y. Ma,
"On the role of sparse and redundant
representations in image processing",
Proceedings of the IEEE (Special Issue on
Applications of Compressive Sensing and Sparse
Representations), vol. 98, no. 6, pp. 972-982, 2010.
M. B. Lopes, J.-C. Wolff,
J. Bioucas-Dias, M.
Figueiredo,
“NIR hyperspectral unmixing based on
a minimum volume criterion for fast and accurate
chemical characterisation of counterfeit tablets”,
Analytical Chemistry, vol. 82, no. 4, pp.
1462-1469, 2010.
J. Nascimento, M.
Figueiredo, J. S. Marques,
“Trajectory classification using
switched dynamical hidden Markov models”,
IEEE Transactions on Image Processing, vol. 19,
no. 5, pp. 1338-1348, 2010.
J. Oliveira, J. Bioucas-Dias, M.
Figueiredo,
“Adaptive total variation image
deblurring: a majorization-minimization approach”,
Signal Processing,
vol. 89, issue 9, pp. 1683-1693, 2009.
M. Bicego, M. Figueiredo,
“Soft clustering using weighted
one-class support vector machines”,
Pattern Recognition, vol. 42, Issue 1, pp. 27-32,
January 2009.
MATLAB
code available here
M. 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.
MATLAB
code available here
M.
Figueiredo and A. K. Jain,
"Unsupervised learning of finite
mixture models",
IEEE Transactions on Pattern Analysis and
Machine Intelligence, vol. 24, no. 3, pp.
381-396, 2002.
MATLAB code available here
M.
Figueiredo and R. Nowak,
"Wavelet-Based image estimation: An
empirical Bayes approach using Jeffreys'
noninformative prior",
IEEE Transactions on Image Processing, vol. 10,
no. 9, pp. 1322-1331, September 2001.
A.
Vailaya, M. Figueiredo, A. K. Jain, and
H.-J. Zhang,
"Image classification for
content-based indexing",
IEEE Transactions on Image Processing, vol. 10,
no. 1, pp. 117-130, January 2001.
M.
Figueiredo, J. 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
Jump to: 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002 2001 2000 20th-Century
2017:
2016:
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 (last updated in 2014).
"Some Advances on the Use of ADMM in
Imaging: Non-Periodic and Blind Deconvolution",
First French-German Mathematical Image
Analysis Conference (FGMIA-14), Paris, France, January
2014.
"Alternating
Direction Optimization for Imaging and Machine Learning
Problems" (plenary
talk),
Fifth IEEE
International Workshop on Computational Advances in
Multi-Sensor Adaptive Processing (CAMSAP), Saint
Martin, December 2013.
"Sparse
Optimization
and Applications to Information Processing" (Summer
course, with Stephen
J. Wright; slides available here),
International Conference on Continuous Optimization -
ICCOPT'2013, Lisbon, Portugal, July 2013.
"Alternating
direction
optimization for imaging inverse problems" (invited
talk),
CIMI Workshop on Optimization and Statistics in Image
Processing, Toulouse, France, June 2013.
"Convex
and
Non-convex Approaches for Low-dimensional Models"
(tutorial,
with Volkan
Cevher)
IEEE International
Conference on Acoustics, Speech, and Signal Processing -
ICASSP, Kyoto, Japan, March 2012.
"Structured
Sparsity
in Natural Language Processing: Models, Algorithms and
Applications", (tutorial, with 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)
IEEE Transactions on Signal Processing (Senior Area Editor, 2015 - )
Associate Editor, Statistics and Computing (2010 – 2013)
Associate Editor, IEEE Transactions on Image Processing (2000 – 2008)
Associate Editor, IEEE Transactions on Pattern Analysis and Machine Intelligence (2005 – 2009)
Associate Editor, Signal Processing (2005 – 2007)
Associate Editor, Pattern Recognition Letters (2001 – 2006)
Associate Editor, IEEE Transactions on Mobile Computing (2001 – 2004)
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
