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Mário A. T. Figueiredo: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Mário A. T. Figueiredo
    Bayesian Image Segmentation Using Wavelet-Based Priors. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2005, pp:437-443 [Conf]
  2. Mário A. T. Figueiredo, Anil K. Jain
    Bayesian Learning of Sparse Classifiers. [Citation Graph (0, 0)][DBLP]
    CVPR (1), 2001, pp:35-41 [Conf]
  3. Mário A. T. Figueiredo, José M. N. Leitão, Anil K. Jain
    Adaptive B-Splines and Boundary Estimation. [Citation Graph (0, 0)][DBLP]
    CVPR, 1997, pp:724-0 [Conf]
  4. Mário A. T. Figueiredo
    Bayesian Image Segmentation Using Gaussian Field Priors. [Citation Graph (0, 0)][DBLP]
    EMMCVPR, 2005, pp:74-89 [Conf]
  5. Mário A. T. Figueiredo, José M. N. Leitão, Anil K. Jain
    Adaptive Parametrically Deformable Contours. [Citation Graph (0, 0)][DBLP]
    EMMCVPR, 1997, pp:35-50 [Conf]
  6. Mário A. T. Figueiredo, José M. N. Leitão, Anil K. Jain
    On Fitting Mixture Models. [Citation Graph (0, 0)][DBLP]
    EMMCVPR, 1999, pp:54-69 [Conf]
  7. Artur Ferreira, Mário A. T. Figueiredo
    Hybrid generative/discriminative training of radial basis function networks. [Citation Graph (0, 0)][DBLP]
    ESANN, 2006, pp:599-604 [Conf]
  8. David Pereira Coutinho, Mário A. T. Figueiredo
    Information Theoretic Text Classification Using the Ziv-Merhav Method. [Citation Graph (0, 0)][DBLP]
    IbPRIA (2), 2005, pp:355-362 [Conf]
  9. Mário A. T. Figueiredo, Anil K. Jain, Martin H. C. Law
    A Feature Selection Wrapper for Mixtures. [Citation Graph (0, 0)][DBLP]
    IbPRIA, 2003, pp:229-237 [Conf]
  10. Céu L. Beirão, Mário A. T. Figueiredo
    Defect Detection in Textile Images Using Gabor Filters. [Citation Graph (0, 0)][DBLP]
    ICIAR (2), 2004, pp:841-848 [Conf]
  11. P. Latorre, G. Peris-Fajarnes, Mário A. T. Figueiredo
    Image Segmentation for the Application of the Neugebauer Colour Prediction Model on Inkjet Printed Ceramic Tiles. [Citation Graph (0, 0)][DBLP]
    ICIAR, 2005, pp:9-16 [Conf]
  12. A. J. Ferreira, Mário A. T. Figueiredo
    Class-adapted image compression using independent component analysis. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2003, pp:625-628 [Conf]
  13. Mário A. T. Figueiredo, José M. N. Leitão
    Adaptive Discontinuity Location in Image Restoration. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1994, pp:665-669 [Conf]
  14. André Jalobeanu, Robert D. Nowak, Josiane Zerubia, Mário A. T. Figueiredo
    Satellite and aerial image deconvolution using an EM method with complex wavelets. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2002, pp:333-336 [Conf]
  15. Sandra V. B. Jardim, Mário A. T. Figueiredo
    Automatic contour estimation in fetal ultrasound images. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2003, pp:1065-1068 [Conf]
  16. José M. N. Leitão, Mário A. T. Figueiredo
    Interferometric image reconstruction as a nonlinear Bayesian estimation problem. [Citation Graph (0, 0)][DBLP]
    ICIP, 1995, pp:2453-2456 [Conf]
  17. Andre T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo
    Navigating in Manhattan: 3D orientation from video without correspondences. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2003, pp:285-288 [Conf]
  18. Unoma Ndili, Robert D. Nowak, Mário A. T. Figueiredo
    Coding theoretic approach to image segmentation. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2001, pp:78-81 [Conf]
  19. Robert D. Nowak, Mário A. T. Figueiredo
    Image restoration under wavelet-domain priors: an expectation-maximization approach. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2002, pp:337-340 [Conf]
  20. Robert D. Nowak, Mário A. T. Figueiredo
    Unsupervised Progressive Parsing of Poisson Fields Using Minimum Description Length, Criteria. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1999, pp:26-30 [Conf]
  21. Mário A. T. Figueiredo, Robert D. Nowak
    A bound optimization approach to wavelet-based image deconvolution. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2005, pp:782-785 [Conf]
  22. Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques
    Recognition of human activities using space dependent switched dynamical models. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 2005, pp:852-855 [Conf]
  23. Aditya Vailaya, Mário A. T. Figueiredo, Anil K. Jain, HongJiang Zhang
    Content-Based Hierarchical Classification of Vacation Images. [Citation Graph (0, 0)][DBLP]
    ICMCS, Vol. 1, 1999, pp:518-523 [Conf]
  24. Mário A. T. Figueiredo
    On Gaussian Radial Basis Function Approximations: Interpretation, Extensions, and Learning Strategies. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2618-2621 [Conf]
  25. Mário A. T. Figueiredo, Anil K. Jain
    Unsupervised Selection and Estimation of Finite Mixture Models. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2087-2090 [Conf]
  26. Robert D. Nowak, Mário A. T. Figueiredo
    Unsupervised Segmentation of Poisson Data. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:3159-3162 [Conf]
  27. Manuele Bicego, Vittorio Murino, Mário A. T. Figueiredo
    Similarity-Based Clustering of Sequences Using Hidden Markov Models. [Citation Graph (0, 0)][DBLP]
    MLDM, 2003, pp:86-95 [Conf]
  28. Mário A. T. Figueiredo
    On Semi-supervised Learning. [Citation Graph (0, 0)][DBLP]
    MRCS, 2006, pp:602- [Conf]
  29. Mário A. T. Figueiredo
    Adaptive Sparseness Using Jeffreys Prior. [Citation Graph (0, 0)][DBLP]
    NIPS, 2001, pp:697-704 [Conf]
  30. Balaji Krishnapuram, David Williams, Ya Xue, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo
    On Semi-Supervised Classification. [Citation Graph (0, 0)][DBLP]
    NIPS, 2004, pp:- [Conf]
  31. Martin H. C. Law, Anil K. Jain, Mário A. T. Figueiredo
    Feature Selection in Mixture-Based Clustering. [Citation Graph (0, 0)][DBLP]
    NIPS, 2002, pp:625-632 [Conf]
  32. Mário A. T. Figueiredo
    Adaptive Sparseness for Supervised Learning. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2003, v:25, n:9, pp:1150-1159 [Journal]
  33. Mário A. T. Figueiredo, Edwin R. Hancock, Marcello Pelillo, Josiane Zerubia
    Guest Editors' Introduction to the Special Section on Energy Minimization Methods in Computer Vision and Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2003, v:25, n:11, pp:1361-1363 [Journal]
  34. Mário A. T. Figueiredo, Edwin R. Hancock, Marcello Pelillo, Josiane Zerubia
    Guest Editors' Introduction to the Special Section on Energy Minimization Methods in Computer Vision and Pattern Recognition. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2004, v:26, n:2, pp:145-146 [Journal]
  35. Mário A. T. Figueiredo, Anil K. Jain
    Unsupervised Learning of Finite Mixture Models. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2002, v:24, n:3, pp:381-396 [Journal]
  36. Balaji Krishnapuram, Lawrence Carin, Mário A. T. Figueiredo, Alexander J. Hartemink
    Sparse Multinomial Logistic Regression: Fast Algorithms and Generalization Bounds. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2005, v:27, n:6, pp:957-968 [Journal]
  37. Balaji Krishnapuram, Alexander J. Hartemink, Lawrence Carin, Mário A. T. Figueiredo
    A Bayesian Approach to Joint Feature Selection and Classifier Design. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2004, v:26, n:9, pp:1105-1111 [Journal]
  38. Martin H. C. Law, Mário A. T. Figueiredo, Anil K. Jain
    Simultaneous Feature Selection and Clustering Using Mixture Models. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2004, v:26, n:9, pp:1154-1166 [Journal]
  39. Andre T. Martins, Pedro M. Q. Aguiar, Mário A. T. Figueiredo
    Orientation in Manhattan: Equiprojective Classes and Sequential Estimation. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2005, v:27, n:5, pp:822-826 [Journal]
  40. Manuele Bicego, Vittorio Murino, Mário A. T. Figueiredo
    Similarity-based classification of sequences using hidden Markov models. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2004, v:37, n:12, pp:2281-2291 [Journal]
  41. Manuele Bicego, Vittorio Murino, Mário A. T. Figueiredo
    A sequential pruning strategy for the selection of the number of states in hidden Markov models. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2003, v:24, n:9-10, pp:1395-1407 [Journal]
  42. Mário A. T. Figueiredo, José M. N. Leitão
    Sequential and parallel image restoration: neural network implementations. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1994, v:3, n:6, pp:789-801 [Journal]
  43. Mário A. T. Figueiredo, José M. N. Leitão
    Unsupervised image restoration and edge location using compound Gauss-Markov random fields and the MDL principle. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1997, v:6, n:8, pp:1089-1102 [Journal]
  44. Mário A. T. Figueiredo, Robert D. Nowak
    An EM algorithm for wavelet-based image restoration. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2003, v:12, n:8, pp:906-916 [Journal]
  45. Mário A. T. Figueiredo, José M. N. Leitão, Anil K. Jain
    Unsupervised contour representation and estimation using B-splines and a minimum description length criterion. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2000, v:9, n:6, pp:1075-1087 [Journal]
  46. Mário A. T. Figueiredo, Robert D. Nowak
    Wavelet-based image estimation: an empirical Bayes approach using Jeffrey's noninformative prior. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2001, v:10, n:9, pp:1322-1331 [Journal]
  47. José M. N. Leitão, Mário A. T. Figueiredo
    Absolute phase image reconstruction: a stochastic nonlinear filtering approach. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1998, v:7, n:6, pp:868-882 [Journal]
  48. Aditya Vailaya, Mário A. T. Figueiredo, Anil K. Jain, HongJiang Zhang
    Image classification for content-based indexing. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2001, v:10, n:1, pp:117-130 [Journal]
  49. Jacinto C. Nascimento, Mário A. T. Figueiredo, Jorge S. Marques
    On-Line Classification of Human Activities. [Citation Graph (0, 0)][DBLP]
    IbPRIA (2), 2007, pp:444-451 [Conf]
  50. João P. Oliveira, Mário A. T. Figueiredo, José M. Bioucas-Dias
    Blind Estimation of Motion Blur Parameters for Image Deconvolution. [Citation Graph (0, 0)][DBLP]
    IbPRIA (2), 2007, pp:604-611 [Conf]
  51. Dong Seon Cheng, Mário A. T. Figueiredo
    Cosegmentation for Image Sequences. [Citation Graph (0, 0)][DBLP]
    ICIAP, 2007, pp:635-640 [Conf]
  52. Mário A. T. Figueiredo, José M. Bioucas-Dias, João P. Oliveira, Robert D. Nowak
    On Total Variation Denoising: A New Majorization-Minimization Algorithm and an Experimental Comparisonwith Wavalet Denoising. [Citation Graph (0, 0)][DBLP]
    ICIP, 2006, pp:2633-2636 [Conf]
  53. Michael Rabbat, Mário A. T. Figueiredo, Robert D. Nowak
    Inferring Network Structure from Co-Occurrences. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:1105-1112 [Conf]
  54. Mário A. T. Figueiredo, Dong Seon Cheng, Vittorio Murino
    Clustering Under Prior Knowledge with Application to Image Segmentation. [Citation Graph (0, 0)][DBLP]
    NIPS, 2006, pp:401-408 [Conf]
  55. Michael Rabbat, Mário A. T. Figueiredo, Robert Nowak
    Network Inference from Co-Occurrences [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]

  56. On the Use of Suffix Arrays for Memory-Efficient Lempel-Ziv Data Compression. [Citation Graph (, )][DBLP]


  57. Trajectory Modeling Using Mixtures of Vector Fields. [Citation Graph (, )][DBLP]


  58. Two-Step Algorithms for Linear Inverse Problems with Non-Quadratic Regularization. [Citation Graph (, )][DBLP]


  59. Semi-Supervised Learning of Switched Dynamical Models for Classification of Human Activities in Surveillance Applications. [Citation Graph (, )][DBLP]


  60. Unsupervised learning of motion patterns using generative models. [Citation Graph (, )][DBLP]


  61. An iterative algorithm for linear inverse problems with compound regularizers. [Citation Graph (, )][DBLP]


  62. Trajectory analysis in natural images using mixtures of vector fields. [Citation Graph (, )][DBLP]


  63. Total variation restoration of speckled images using a split-bregman algorithm. [Citation Graph (, )][DBLP]


  64. Nonextensive entropic kernels. [Citation Graph (, )][DBLP]


  65. Semi-Supervised and Active Learning. [Citation Graph (, )][DBLP]


  66. Information Theoretic Text Classification Methods Evaluation. [Citation Graph (, )][DBLP]


  67. Information Theoretical Kernels for Generative Embeddings Based on Hidden Markov Models. [Citation Graph (, )][DBLP]


  68. Suffix Arrays - A Competitive Choice for Fast Lempel-Ziv Compressions. [Citation Graph (, )][DBLP]


  69. Semi-Supervised Clustering: Application to Image Segmentation. [Citation Graph (, )][DBLP]


  70. Sparse reconstruction by separable approximation. [Citation Graph (, )][DBLP]


  71. Genomic Network Tomography. [Citation Graph (, )][DBLP]


  72. Selecting Categorical Features in Model-based Clustering. [Citation Graph (, )][DBLP]


  73. Nonextensive Generalizations of the Jensen-Shannon Divergence [Citation Graph (, )][DBLP]


  74. On the Use of Suffix Arrays for Memory-Efficient Lempel-Ziv Data Compression [Citation Graph (, )][DBLP]


  75. Time and Memory Efficient Lempel-Ziv Compression Using Suffix Arrays [Citation Graph (, )][DBLP]


  76. Independent increment processes for human motion recognition. [Citation Graph (, )][DBLP]


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