Mário A. T. Figueiredo

According to our database1, Mário A. T. Figueiredo authored at least 201 papers between 1992 and 2019.

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IEEE Fellow

IEEE Fellow 2010, "For contributions to pattern recognition and computer vision".

Timeline

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Bibliography

2019
A Convergent Image Fusion Algorithm Using Scene-Adapted Gaussian-Mixture-Based Denoising.
IEEE Trans. Image Processing, 2019

2018
Robust Sparse Recovery in Impulsive Noise via Continuous Mixed Norm.
IEEE Signal Process. Lett., 2018

Clustering via binary embedding.
Pattern Recognition, 2018

Simultaneous Sparsity and Parameter Tying for Deep Learning Using Ordered Weighted ℓ1 Regularization.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Poisson Image Denoising Using Best Linear Prediction: a Post-Processing Framework.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
A biclustering approach based on factor graphs and the max-sum algorithm.
Pattern Recognition, 2017

Spike and slab biclustering.
Pattern Recognition, 2017

Scene-Adapted plug-and-play algorithm with convergence guarantees.
Proceedings of the 27th IEEE International Workshop on Machine Learning for Signal Processing, 2017

Shape-based Trajectory Clustering.
Proceedings of the 6th International Conference on Pattern Recognition Applications and Methods, 2017

Adaptive Consensus ADMM for Distributed Optimization.
Proceedings of the 34th International Conference on Machine Learning, 2017

Class-specific poisson denoising by patch-based importance sampling.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Class-specific image denoising using importance sampling.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Blind image deblurring using class-adapted image priors.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Class-Adapted Blind Deblurring of Document Images.
Proceedings of the 14th IAPR International Conference on Document Analysis and Recognition, 2017

Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Synthesis versus analysis in patch-based image priors.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Sharpening Hyperspectral Images Using Plug-and-Play Priors.
Proceedings of the Latent Variable Analysis and Signal Separation, 2017

Local Features Applied to Dermoscopy Images: Bag-of-Features versus Sparse Coding.
Proceedings of the Pattern Recognition and Image Analysis - 8th Iberian Conference, 2017

Sharpening Hyperspectral Images Using Spatial and Spectral Priors in a Plug-and-Play Algorithm.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2017

Adaptive Relaxed ADMM: Convergence Theory and Practical Implementation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Adaptive ADMM with Spectral Penalty Parameter Selection.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Image restoration with locally selected class-adapted models.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Image restoration and reconstruction using variable splitting and class-adapted image priors.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Bayesian image segmentation using hidden fields: Supervised, unsupervised, and semi-supervised formulations.
Proceedings of the 24th European Signal Processing Conference, 2016

Ordered Weighted L1 Regularized Regression with Strongly Correlated Covariates: Theoretical Aspects.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
Moving horizon estimation of pedestrian interactions using multiple velocity fields.
Signal, Image and Video Processing, 2015

Probabilistic consensus clustering using evidence accumulation.
Machine Learning, 2015

AD3: alternating directions dual decomposition for MAP inference in graphical models.
Journal of Machine Learning Research, 2015

Text Classification Using Compression-Based Dissimilarity Measures.
IJPRAI, 2015

Feature selection for clustering categorical data with an embedded modelling approach.
Expert Systems, 2015

Single-frame Image Denoising and Inpainting Using Gaussian Mixtures.
Proceedings of the ICPRAM 2015, 2015

Exploiting the Bin-Class Histograms for Feature Selection on Discrete Data.
Proceedings of the Pattern Recognition and Image Analysis - 7th Iberian Conference, 2015

Maximum-a-posteriori estimation with unknown regularisation parameters.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Parametric Blur Estimation for Blind Restoration of Natural Images: Linear Motion and Out-of-Focus.
IEEE Trans. Image Processing, 2014

Decreasing Weighted Sorted ℓ1 Regularization.
IEEE Signal Process. Lett., 2014

Spectrometric differentiation of yeast strains using minimum volume increase and minimum direction change clustering criteria.
Pattern Recognition Letters, 2014

Incremental filter and wrapper approaches for feature discretization.
Neurocomputing, 2014

Generative embeddings based on Rician mixtures for kernel-based classification of magnetic resonance images.
Neurocomputing, 2014

Solving OSCAR regularization problems by fast approximate proximal splitting algorithms.
Digital Signal Processing, 2014

Enhancing multimodal silent speech interfaces with feature selection.
Proceedings of the INTERSPEECH 2014, 2014

Robust binary fused compressive sensing using adaptive outlier pursuit.
Proceedings of the IEEE International Conference on Acoustics, 2014

Group-sparse matrix recovery.
Proceedings of the IEEE International Conference on Acoustics, 2014

Teaching a new trick to an old dog: Revisiting the quadratic programming formulation of sparse recovery using ADMM.
Proceedings of the IEEE International Conference on Acoustics, 2014

Color identification in dermoscopy images using Gaussian mixture models.
Proceedings of the IEEE International Conference on Acoustics, 2014

Robust sparsity and clustering regularization for regression.
Proceedings of the 22nd European Signal Processing Conference, 2014

The atomic norm formulation of OSCAR regularization with application to the Frank-Wolfe algorithm.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Learning Similarities from Examples Under the Evidence Accumulation Clustering Paradigm.
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

On the Combination of Information-Theoretic Kernels with Generative Embeddings.
Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

Activity Recognition Using a Mixture of Vector Fields.
IEEE Trans. Image Processing, 2013

Deconvolving Images With Unknown Boundaries Using the Alternating Direction Method of Multipliers.
IEEE Trans. Image Processing, 2013

Parameter Estimation for Blind and Non-Blind Deblurring Using Residual Whiteness Measures.
IEEE Trans. Image Processing, 2013

Combining information theoretic kernels with generative embeddings for classification.
Neurocomputing, 2013

Novel fiducial and non-fiducial approaches to electrocardiogram-based biometric systems.
IET Biometrics, 2013

Moving Horizon Estimation of Pedestrian Interactions Based on Multiple Velocity Fields.
Proceedings of the Advances in Visual Computing - 9th International Symposium, 2013

A MAP Approach to Evidence Accumulation Clustering.
Proceedings of the Pattern Recognition Applications and Methods - International Conference, 2013

Probabilistic Evidence Accumulation for Clustering Ensembles.
Proceedings of the ICPRAM 2013, 2013

Alternating Direction Optimization for Imaging and Machine Learning Problems.
Proceedings of the ICPRAM 2013, 2013

Feature Discretization with Relevance and Mutual Information Criteria.
Proceedings of the Pattern Recognition Applications and Methods - International Conference, 2013

Relevance and Mutual Information-based Feature Discretization.
Proceedings of the ICPRAM 2013, 2013

An Information Theoretic Approach to Text Sentiment Analysis.
Proceedings of the ICPRAM 2013, 2013

Blind image deblurring with unknown boundaries using the alternating direction method of multipliers.
Proceedings of the IEEE International Conference on Image Processing, 2013

Frame-based image deblurring with unknown boundary conditions using the alternating direction method of multipliers.
Proceedings of the IEEE International Conference on Image Processing, 2013

Consensus Clustering Using Partial Evidence Accumulation.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

An Incremental Bit Allocation Strategy for Supervised Feature Discretization.
Proceedings of the Pattern Recognition and Image Analysis - 6th Iberian Conference, 2013

Clustering and Selecting Categorical Features.
Proceedings of the Progress in Artificial Intelligence, 2013

2012
Efficient feature selection filters for high-dimensional data.
Pattern Recognition Letters, 2012

An unsupervised approach to feature discretization and selection.
Pattern Recognition, 2012

Towards a Classification Approach using Meta-Biclustering: Impact of Discretization in the Analysis of Expression Time Series.
J. Integrative Bioinformatics, 2012

Prognostic Prediction Using Clinical Expression Time Series: Towards a Supervised Learning Approach Based on Meta-biclusters.
Proceedings of the 6th International Conference on Practical Applications of Computational Biology & Bioinformatics, 2012

Structured Sparsity in Natural Language Processing: Models, Algorithms and Applications.
Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2012

A Dynamic Wrapper Method for Feature Discretization and Selection.
Proceedings of the ICPRAM 2012, 2012

Generative Embeddings based on Rician Mixtures - Application to Kernel-based Discriminative Classification of Magnetic Resonance Images.
Proceedings of the ICPRAM 2012, 2012

Algorithms for imaging inverse problems under sparsity regularization.
Proceedings of the 3rd International Workshop on Cognitive Information Processing, 2012

2011
An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems.
IEEE Trans. Image Processing, 2011

Online Learning of Structured Predictors with Multiple Kernels.
Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, 2011

Comparison of near infrared and Raman hyperspectral unmixing performances for chemical identification of pharmaceutical tablets.
Proceedings of the 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2011

A Generative Dyadic Aspect Model for Evidence Accumulation Clustering.
Proceedings of the Similarity-Based Pattern Recognition - First International Workshop, 2011

Renal Cancer Cell Classification Using Generative Embeddings and Information Theoretic Kernels.
Proceedings of the Pattern Recognition in Bioinformatics, 2011

An Augmented Lagrangian Approach to Constrained MAP Inference.
Proceedings of the 28th International Conference on Machine Learning, 2011

Discriminative model selection using a modified Bayesian criterion: Application to trajectory modeling.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Image super-segmentation: Segmentation with multiple labels from shuffled observations.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Feature Discretization and Selection in Microarray Data.
Proceedings of the KDIR 2011, 2011

Trajectory Analysis Using Switched Motion Fields: A Parametric Approach.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

Unsupervised Joint Feature Discretization and Selection.
Proceedings of the Pattern Recognition and Image Analysis - 5th Iberian Conference, 2011

Efficient unsupervised feature selection for sparse data.
Proceedings of EUROCON 2011, 2011

Non-cyclic deconvolution using an augmented lagrangian method.
Proceedings of EUROCON 2011, 2011

Unsupervised feature selection for sparse data.
Proceedings of the ESANN 2011, 2011

Structured Sparsity in Structured Prediction.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Dual Decomposition with Many Overlapping Components.
Proceedings of the 2011 Conference on Empirical Methods in Natural Language Processing, 2011

Sliding Window Update Using Suffix Arrays.
Proceedings of the 2011 Data Compression Conference (DCC 2011), 2011

ECG-based Continuous Authentication System using Adaptive String Matching.
Proceedings of the BIOSIGNALS 2011, 2011

2010
Trajectory Classification Using Switched Dynamical Hidden Markov Models.
IEEE Trans. Image Processing, 2010

Restoration of Poissonian Images Using Alternating Direction Optimization.
IEEE Trans. Image Processing, 2010

Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization.
IEEE Trans. Image Processing, 2010

Fast Image Recovery Using Variable Splitting and Constrained Optimization.
IEEE Trans. Image Processing, 2010

On the Role of Sparse and Redundant Representations in Image Processing.
Proceedings of the IEEE, 2010

Introduction to the Issue on Compressive Sensing.
J. Sel. Topics Signal Processing, 2010

Alternating direction algorithms for constrained sparse regression: Application to hyperspectral unmixing.
Proceedings of the 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2010

Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models.
Proceedings of the Structural, 2010

Feature Transformation and Reduction for Text Classification.
Proceedings of the Pattern Recognition in Information Systems, 2010

Personal Identification and Authentication based on One-lead ECG using Ziv-Merhav Cross Parsing.
Proceedings of the Pattern Recognition in Information Systems, 2010

One-Lead ECG-based Personal Identification Using Ziv-Merhav Cross Parsing.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2D Shape Recognition Using Information Theoretic Kernels.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Discriminative model selection for object motion recognition.
Proceedings of the International Conference on Image Processing, 2010

Classification of complex pedestrian activities from trajectories.
Proceedings of the International Conference on Image Processing, 2010

Frame-based deconvolution of Poissonian images using alternating direction optimization.
Proceedings of the International Conference on Image Processing, 2010

Combining free energy score spaces with information theoretic kernels: Application to scene classification.
Proceedings of the International Conference on Image Processing, 2010

An augmented Lagrangian approach to linear inverse problems with compound regularization.
Proceedings of the International Conference on Image Processing, 2010

A fast algorithm for the constrained formulation of compressive image reconstruction and other linear inverse problems.
Proceedings of the IEEE International Conference on Acoustics, 2010

Turbo Parsers: Dependency Parsing by Approximate Variational Inference.
Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, 2010

2009
Adaptive total variation image deblurring: A majorization-minimization approach.
Signal Processing, 2009

Soft clustering using weighted one-class support vector machines.
Pattern Recognition, 2009

Nonextensive Information Theoretic Kernels on Measures.
Journal of Machine Learning Research, 2009

Spectral unmixing via minimum volume simplices: Application to near infrared spectra of counterfeit tablets.
Proceedings of the First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing, 2009

Trajectory analysis in natural images using mixtures of vector fields.
Proceedings of the International Conference on Image Processing, 2009

Total variation restoration of speckled images using a split-bregman algorithm.
Proceedings of the International Conference on Image Processing, 2009

Selecting Categorical Features in Model-based Clustering.
Proceedings of the KDIR 2009 - Proceedings of the International Conference on Knowledge Discovery and Information Retrieval, Funchal, 2009

Trajectory Modeling Using Mixtures of Vector Fields.
Proceedings of the Pattern Recognition and Image Analysis, 4th Iberian Conference, 2009

On the Use of Suffix Arrays for Memory-Efficient Lempel-Ziv Data Compression.
Proceedings of the 2009 Data Compression Conference (DCC 2009), 2009

2008
Network Inference From Co-Occurrences.
IEEE Trans. Information Theory, 2008

Independent increment processes for human motion recognition.
Computer Vision and Image Understanding, 2008

Suffix Arrays - A Competitive Choice for Fast Lempel-Ziv Compressions.
Proceedings of the SIGMAP 2008, 2008

Information Theoretic Text Classification Methods Evaluation.
Proceedings of the Pattern Recognition in Information Systems, 2008

Tsallis kernels on measures.
Proceedings of the 2008 IEEE Information Theory Workshop, 2008

Nonextensive entropic kernels.
Proceedings of the Machine Learning, 2008

Unsupervised learning of motion patterns using generative models.
Proceedings of the International Conference on Image Processing, 2008

An iterative algorithm for linear inverse problems with compound regularizers.
Proceedings of the International Conference on Image Processing, 2008

On the Suitability of Suffix Arrays for Lempel-Ziv Data Compression.
Proceedings of the e-Business and Telecommunications - International Conference, 2008

Sparse reconstruction by separable approximation.
Proceedings of the IEEE International Conference on Acoustics, 2008

2007
Majorization-Minimization Algorithms for Wavelet-Based Image Restoration.
IEEE Trans. Image Processing, 2007

A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration.
IEEE Trans. Image Processing, 2007

Semi-Supervised and Active Learning.
Proceedings of the Pattern Recognition in Information Systems, 2007

Semi-Supervised Learning of Switched Dynamical Models for Classification of Human Activities in Surveillance Applications.
Proceedings of the International Conference on Image Processing, 2007

Two-Step Algorithms for Linear Inverse Problems with Non-Quadratic Regularization.
Proceedings of the International Conference on Image Processing, 2007

Cosegmentation for Image Sequences.
Proceedings of the 14th International Conference on Image Analysis and Processing (ICIAP 2007), 2007

Genomic Network Tomography.
Proceedings of the IEEE International Conference on Acoustics, 2007

Blind Estimation of Motion Blur Parameters for Image Deconvolution.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

On-Line Classification of Human Activities.
Proceedings of the Pattern Recognition and Image Analysis, Third Iberian Conference, 2007

2006
On the use of independent component analysis for image compression.
Sig. Proc.: Image Comm., 2006

Inferring Network Structure from Co-Occurrences.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Clustering Under Prior Knowledge with Application to Image Segmentation.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

On Semi-supervised Learning.
Proceedings of the Multimedia Content Representation, 2006

On Total Variation Denoising: A New Majorization-Minimization Algorithm and an Experimental Comparisonwith Wavalet Denoising.
Proceedings of the International Conference on Image Processing, 2006

Total Variation-Based Image Deconvolution: a Majorization-Minimization Approach.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Semi-Supervised Clustering: Application to Image Segmentation.
Proceedings of the Advances in Data Analysis, 2006

Adaptive total variation image deconvolution: A majorization-minimization approach.
Proceedings of the 14th European Signal Processing Conference, 2006

Hybrid generative/discriminative training of radial basis function networks.
Proceedings of the ESANN 2006, 2006

2005
Orientation in Manhattan: Equiprojective Classes and Sequential Estimation.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Recognition of human activities using space dependent switched dynamical models.
Proceedings of the 2005 International Conference on Image Processing, 2005

A bound optimization approach to wavelet-based image deconvolution.
Proceedings of the 2005 International Conference on Image Processing, 2005

Image Segmentation for the Application of the Neugebauer Colour Prediction Model on Inkjet Printed Ceramic Tiles.
Proceedings of the Image Analysis and Recognition, Second International Conference, 2005

Information Theoretic Text Classification Using the Ziv-Merhav Method.
Proceedings of the Pattern Recognition and Image Analysis, Second Iberian Conference, 2005

Bayesian Image Segmentation Using Gaussian Field Priors.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2005

Bayesian Image Segmentation Using Wavelet-Based Priors.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Guest Editorial: Special Issue on Machine Learning Methods in Signal Processing.
IEEE Trans. Signal Processing, 2004

Similarity-based classification of sequences using hidden Markov models.
Pattern Recognition, 2004

Simultaneous Feature Selection and Clustering Using Mixture Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

A Bayesian Approach to Joint Feature Selection and Classifier Design.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

Guest Editors' Introduction to the Special Section on Energy Minimization Methods in Computer Vision and Pattern Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2004

On Semi-Supervised Classification.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Defect Detection in Textile Images Using Gabor Filters.
Proceedings of the Image Analysis and Recognition: International Conference, 2004

2003
An EM algorithm for wavelet-based image restoration.
IEEE Trans. Image Processing, 2003

A sequential pruning strategy for the selection of the number of states in hidden Markov models.
Pattern Recognition Letters, 2003

Guest Editors' Introduction to the Special Section on Energy Minimization Methods in Computer Vision and Pattern Recognition.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

Adaptive Sparseness for Supervised Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2003

Image compression using orthogonalized independent components bases.
Proceedings of the NNSP 2003, 2003

Similarity-Based Clustering of Sequences Using Hidden Markov Models.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2003

Navigating in Manhattan: 3D orientation from video without correspondences.
Proceedings of the 2003 International Conference on Image Processing, 2003

Automatic contour estimation in fetal ultrasound images.
Proceedings of the 2003 International Conference on Image Processing, 2003

Class-adapted image compression using independent component analysis.
Proceedings of the 2003 International Conference on Image Processing, 2003

A Feature Selection Wrapper for Mixtures.
Proceedings of the Pattern Recognition and Image Analysis, First Iberian Conference, 2003

2002
Unsupervised Learning of Finite Mixture Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2002

Feature Selection in Mixture-Based Clustering.
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002

Image restoration under wavelet-domain priors: an expectation-maximization approach.
Proceedings of the 2002 International Conference on Image Processing, 2002

Satellite and aerial image deconvolution using an EM method with complex wavelets.
Proceedings of the 2002 International Conference on Image Processing, 2002

Wavelet-based adaptive image deconvolution.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Image classification for content-based indexing.
IEEE Trans. Image Processing, 2001

Wavelet-based image estimation: an empirical Bayes approach using Jeffrey's noninformative prior.
IEEE Trans. Image Processing, 2001

Adaptive Sparseness Using Jeffreys Prior.
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Coding theoretic approach to image segmentation.
Proceedings of the 2001 International Conference on Image Processing, 2001

Bayesian Learning of Sparse Classifiers.
Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2001), 2001

2000
Unsupervised contour representation and estimation using B-splines and a minimum description length criterion.
IEEE Trans. Image Processing, 2000

Unsupervised Segmentation of Poisson Data.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Unsupervised Selection and Estimation of Finite Mixture Models.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

On Gaussian Radial Basis Function Approximations: Interpretation, Extensions, and Learning Strategies.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

1999
Bayesian framework for semantic classification of outdoor vacation images.
Proceedings of the Storage and Retrieval for Image and Video Databases VII, 1999

Content-Based Hierarchical Classification of Vacation Images.
Proceedings of the IEEE International Conference on Multimedia Computing and Systems, 1999

Unsupervised Progressive Parsing of Poisson Fields Using Minimum Description Length, Criteria.
Proceedings of the 1999 International Conference on Image Processing, 1999

On Fitting Mixture Models.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1999

1998
Absolute phase image reconstruction: a stochastic nonlinear filtering approach.
IEEE Trans. Image Processing, 1998

1997
Unsupervised image restoration and edge location using compound Gauss-Markov random fields and the MDL principle.
IEEE Trans. Image Processing, 1997

Adaptive Parametrically Deformable Contours.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 1997

Adaptive B-Splines and Boundary Estimation.
Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97), 1997

1996
Unsupervised contour estimation.
Proceedings of the Proceedings 1996 International Conference on Image Processing, 1996

1995
A nonsmoothing approach to the estimation of vessel contours in angiograms.
IEEE Trans. Med. Imaging, 1995

Interferometric image reconstruction as a nonlinear Bayesian estimation problem.
Proceedings of the Proceedings 1995 International Conference on Image Processing, 1995

1994
Sequential and parallel image restoration: neural network implementations.
IEEE Trans. Image Processing, 1994

Adaptive Discontinuity Location in Image Restoration.
Proceedings of the Proceedings 1994 International Conference on Image Processing, 1994

1993
Simulated tearing: an algorithm for discontinuity-preserving visual surface reconstruction.
Proceedings of the Conference on Computer Vision and Pattern Recognition, 1993

1992
Bayesian estimation of ventricular contours in angiographic images.
IEEE Trans. Med. Imaging, 1992


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