D-Index & Metrics Best Publications

Mário A. T. Figueiredo

Instituto Superior Técnico
Portugal

Computer Science

Portugal

2023

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Discipline name Citations Publications World Ranking National Ranking

Computer Science D-index 63 Citations 29,803 298 World Ranking 1680 National Ranking 2

Research.com Recognitions

Awards & Achievements

2023 - Research.com Computer Science in Portugal Leader Award

2022 - Research.com Computer Science in Portugal Leader Award

2010 - IEEE Fellow For contributions to pattern recognition and computer vision

2008 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to unsupervised and supervised learning, image analysis, and wavelet-based image restoration.

Overview

What is he best known for?

The fields of study Mário A. T. Figueiredo is best known for:

Compressed sensing
Image processing
Mathematical optimization

His research investigates the link between Inverse problem and topics such as Mathematical analysis that cross with problems in Separable space and Monotonic function. His Separable space study frequently links to related topics such as Mathematical analysis. He integrates Monotonic function and Convex function in his research. Many of his studies involve connections with topics such as Pattern recognition (psychology) and Artificial intelligence. His research combines Artificial intelligence and Pattern recognition (psychology). In his study, he carries out multidisciplinary Mathematical optimization and Quadratic programming research. He connects Quadratic programming with Basis pursuit in his research. He integrates Basis pursuit with Matching pursuit in his research. He merges Matching pursuit with Wavelet in his research.

His most cited work include:

Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems (2952 citations)
Unsupervised learning of finite mixture models (1865 citations)
Sparse Reconstruction by Separable Approximation (1631 citations)

What are the main themes of his work throughout his whole career to date

His Smoothness research focuses on Mathematical analysis and how it connects with Inverse problem. His study brings together the fields of Mathematical analysis and Inverse problem. His work in Regular polygon covers topics such as Geometry which are related to areas like Quadratic equation. In his work, he performs multidisciplinary research in Quadratic equation and Geometry. Artificial intelligence is closely attributed to Regularization (linguistics) in his research. His Minimum description length research extends to Algorithm, which is thematically connected. Mário A. T. Figueiredo combines Minimum description length and Statistics in his research. Statistics and Random field are frequently intertwined in his study. He incorporates Mathematical optimization and Iterative method in his research.

Mário A. T. Figueiredo most often published in these fields:

Artificial intelligence (90.91%)
Algorithm (77.27%)
Pattern recognition (psychology) (45.45%)

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems

M.A.T. Figueiredo;R.D. Nowak;S.J. Wright.
IEEE Journal of Selected Topics in Signal Processing (2007)

4061 Citations

Unsupervised learning of finite mixture models

M.A.T. Figueiredo;A.K. Jain.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2002)

2813 Citations

Sparse Reconstruction by Separable Approximation

S.J. Wright;R.D. Nowak;M.A.T. Figueiredo.
IEEE Transactions on Signal Processing (2009)

2258 Citations

A New TwIST: Two-Step Iterative Shrinkage/Thresholding Algorithms for Image Restoration

J.M. Bioucas-Dias;M.A.T. Figueiredo.
IEEE Transactions on Image Processing (2007)

2011 Citations

An EM algorithm for wavelet-based image restoration

M.A.T. Figueiredo;R.D. Nowak.
IEEE Transactions on Image Processing (2003)

1400 Citations

Fast Image Recovery Using Variable Splitting and Constrained Optimization

Manya V Afonso;José M Bioucas-Dias;Mário A T Figueiredo.
IEEE Transactions on Image Processing (2010)

1316 Citations

Image classification for content-based indexing

A. Vailaya;M.A.T. Figueiredo;A.K. Jain;Hong-Jiang Zhang.
IEEE Transactions on Image Processing (2001)

1148 Citations

An Augmented Lagrangian Approach to the Constrained Optimization Formulation of Imaging Inverse Problems

M V Afonso;José M Bioucas-Dias;Mário A T Figueiredo.
IEEE Transactions on Image Processing (2011)

1076 Citations

Sparse multinomial logistic regression: fast algorithms and generalization bounds

B. Krishnapuram;L. Carin;M.A.T. Figueiredo;A.J. Hartemink.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2005)

1019 Citations

On the Role of Sparse and Redundant Representations in Image Processing

Michael Elad;Mario A T Figueiredo;Yi Ma.
Proceedings of the IEEE (2010)

838 Citations

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Mário A. T. Figueiredo

D-Index & Metrics D-index (Discipline H-index) only includes papers and citation values for an examined discipline in contrast to General H-index which accounts for publications across all disciplines.

Research.com Recognitions

Awards & Achievements

Overview

What is he best known for?

The fields of study Mário A. T. Figueiredo is best known for:

His most cited work include:

What are the main themes of his work throughout his whole career to date

Mário A. T. Figueiredo most often published in these fields:

Best Publications

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