D-Index & Metrics Best Publications
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 D-index 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. 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 he is best known for:

  • Artificial intelligence
  • Machine learning
  • Statistics

The scientist’s investigation covers issues in Artificial intelligence, Pattern recognition, Algorithm, Mathematical optimization and Deconvolution. His Artificial intelligence research integrates issues from Machine learning and Expectation–maximization algorithm. Mário A. T. Figueiredo has researched Pattern recognition in several fields, including Prior probability, Bayesian probability, Cluster analysis and Parametric statistics.

Mário A. T. Figueiredo focuses mostly in the field of Algorithm, narrowing it down to topics relating to Wavelet transform and, in certain cases, Convolution. In the field of Mathematical optimization, his study on Optimization problem overlaps with subjects such as Basis pursuit. His Deconvolution research includes themes of Regularization, Inpainting and Inverse problem.

His most cited work include:

  • Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems (2747 citations)
  • Unsupervised learning of finite mixture models (1728 citations)
  • Sparse Reconstruction by Separable Approximation (1488 citations)

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

Mário A. T. Figueiredo mainly investigates Artificial intelligence, Pattern recognition, Algorithm, Machine learning and Cluster analysis. His biological study spans a wide range of topics, including Computer vision and Expectation–maximization algorithm. He has included themes like Mathematical optimization, Noise reduction and Image restoration in his Algorithm study.

His Mathematical optimization study often links to related topics such as Deconvolution. The Image restoration study combines topics in areas such as Wavelet, Wavelet transform, Inverse problem and Convex optimization. His Cluster analysis study combines topics from a wide range of disciplines, such as Norm and Data mining.

He most often published in these fields:

  • Artificial intelligence (57.58%)
  • Pattern recognition (40.61%)
  • Algorithm (29.70%)

What were the highlights of his more recent work (between 2015-2021)?

  • Artificial intelligence (57.58%)
  • Algorithm (29.70%)
  • Pattern recognition (40.61%)

In recent papers he was focusing on the following fields of study:

His main research concerns Artificial intelligence, Algorithm, Pattern recognition, Noise reduction and Image. His Algorithm research includes elements of Probability density function, Importance sampling, Image processing, Noise and Generalization. His Pattern recognition research is multidisciplinary, relying on both Noise, Filter, Bayesian probability and Random field.

His Noise reduction research incorporates themes from Poisson distribution, Iterative method and Hyperspectral imaging. Inpainting is closely connected to Image restoration in his research, which is encompassed under the umbrella topic of Mixture model. His research in Deblurring intersects with topics in Convolution and Inverse problem.

Between 2015 and 2021, his most popular works were:

  • Image restoration and reconstruction using variable splitting and class-adapted image priors (61 citations)
  • A Convergent Image Fusion Algorithm Using Scene-Adapted Gaussian-Mixture-Based Denoising (36 citations)
  • Adaptive ADMM with Spectral Penalty Parameter Selection (34 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Statistics
  • Machine learning

His primary areas of study are Artificial intelligence, Pattern recognition, Algorithm, Mathematical optimization and Deblurring. His Artificial intelligence study incorporates themes from Generalization and Computer vision. His studies in Pattern recognition integrate themes in fields like Prior probability, Cluster analysis, Expectation–maximization algorithm, Matrix decomposition and Generative model.

His Iterative method study in the realm of Algorithm interacts with subjects such as Noise measurement. In his research, Scaling is intimately related to Gradient descent, which falls under the overarching field of Mathematical optimization. His work carried out in the field of Deblurring brings together such families of science as Noise reduction and Inverse problem.

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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