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José M. F. Moura: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Mário Q. Aguiar, José M. F. Moura
    3D rigid structure from video: what are "easy" shapes and "good" motions?. [Citation Graph (0, 0)][DBLP]
    IEEE Workshop on Multimedia Signal Processing, 2002, pp:97-100 [Conf]
  2. Pedro M. Q. Aguiar, José M. F. Moura
    Factorization as a Rank 1 Problem. [Citation Graph (0, 0)][DBLP]
    CVPR, 1999, pp:1178-1184 [Conf]
  3. Pedro M. Q. Aguiar, José M. F. Moura
    Maximum Likelihood Estimation of the Template of a Rigid Moving Object. [Citation Graph (0, 0)][DBLP]
    EMMCVPR, 2001, pp:34-49 [Conf]
  4. Pedro M. Q. Aguiar, José M. F. Moura
    Maximum Likelihood Inference of 3D Structure from Image Sequences. [Citation Graph (0, 0)][DBLP]
    EMMCVPR, 1999, pp:285-300 [Conf]
  5. Markus Püschel, Bryan Singer, Manuela M. Veloso, José M. F. Moura
    Fast Automatic Generation of DSP Algorithms. [Citation Graph (0, 0)][DBLP]
    International Conference on Computational Science (1), 2001, pp:97-106 [Conf]
  6. Pedro M. Q. Aguiar, José M. F. Moura
    Weighted Factorization. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  7. Pedro M. Q. Aguiar, José M. F. Moura
    Image motion estimation-convergence and error analysis. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2001, pp:937-940 [Conf]
  8. Pedro M. Q. Aguiar, José M. F. Moura
    Detecting and Solving Template Ambiguities in Motion Segmentation. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 1997, pp:494-497 [Conf]
  9. Pedro M. Q. Aguiar, José M. F. Moura
    Video Representation via 3D Shaped Mosaics. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1998, pp:823-827 [Conf]
  10. Pedro M. Q. Aguiar, José M. F. Moura
    A Fast Algorithm for Rigid Structure from Image Sequences. [Citation Graph (0, 0)][DBLP]
    ICIP (3), 1999, pp:125-129 [Conf]
  11. Marcelo G. S. Bruno, José M. F. Moura
    Bayesian smoothing and filtering for multiframe, multiaspect target detection and tracking. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2002, pp:561-564 [Conf]
  12. Marcelo G. S. Bruno, José M. F. Moura
    Multiframe Bayesian Tracking of Cluttered Targets with Random Motion. [Citation Graph (0, 0)][DBLP]
    ICIP, 2000, pp:- [Conf]
  13. Jia-Ching Cheng, José M. F. Moura
    Tracking Human Walking in Dynamic Scenes. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 1997, pp:137-0 [Conf]
  14. Victor H. S. Ha, José M. F. Moura
    Efficient 2D shape orientation. [Citation Graph (0, 0)][DBLP]
    ICIP (1), 2003, pp:225-228 [Conf]
  15. Victor H. S. Ha, José M. F. Moura
    Three-dimensional intrinsic shape. [Citation Graph (0, 0)][DBLP]
    ICIP, 2004, pp:2099-2102 [Conf]
  16. Radu S. Jasinschi, José M. F. Moura
    Content-based video sequence representation. [Citation Graph (0, 0)][DBLP]
    ICIP, 1995, pp:2229-2232 [Conf]
  17. F. C. M. Martins, José M. F. Moura
    3-D video compositing: towards a compact representation for video sequences. [Citation Graph (0, 0)][DBLP]
    ICIP, 1995, pp:550-553 [Conf]
  18. Charnchai Pluempitiwiriyawej, José M. F. Moura, Yi-Jen Lin Wu, S. Kanno, Chien Ho
    Stochastic active contour for cardiac MR image segmentation. [Citation Graph (0, 0)][DBLP]
    ICIP (2), 2003, pp:1097-1100 [Conf]
  19. Ying Sun, Marie-Pierre Jolly, José M. F. Moura
    Integrated registration of dynamic renal perfusion MR images. [Citation Graph (0, 0)][DBLP]
    ICIP, 2004, pp:1923-1926 [Conf]
  20. Saeed A. Aldosari, José M. F. Moura
    Fusion in sensor networks with communication constraints. [Citation Graph (0, 0)][DBLP]
    IPSN, 2004, pp:108-115 [Conf]
  21. Haotian Zhang, José M. F. Moura, Bruce H. Krogh
    Estimation in sensor networks: a graph approach. [Citation Graph (0, 0)][DBLP]
    IPSN, 2005, pp:203-209 [Conf]
  22. Hsun-Hsien Chang, José M. F. Moura, Yi-Jen Lin Wu, Kazuya Sato, Chien Ho
    Reconstruction of 3D Dense Cardiac Motion From Tagged MR Sequences. [Citation Graph (0, 0)][DBLP]
    ISBI, 2004, pp:880-883 [Conf]
  23. Charnchai Pluempitiwiriyawej, José M. F. Moura, Yi-Jen Lin Wu, Chien Ho
    Cardiac MR Image Segmentation: Quality Assessment of STACS. [Citation Graph (0, 0)][DBLP]
    ISBI, 2004, pp:828-831 [Conf]
  24. Ying Sun, José M. F. Moura, Chien Ho
    Subpixel Registration in Renal Perfusion MR Image Sequence. [Citation Graph (0, 0)][DBLP]
    ISBI, 2004, pp:700-703 [Conf]
  25. Hsun-Hsien Chang, José M. F. Moura, Yi-Jen Lin Wu, Chien Ho
    Early detection of rejection in cardiac MRI: a spectral graph approach. [Citation Graph (0, 0)][DBLP]
    ISBI, 2006, pp:113-116 [Conf]
  26. Lionel Coulot, Heather Kirschner, Amina Chebira, José M. F. Moura, Jelena Kovacevic, Elvira Garcia Osuna, Robert F. Murphy
    Topology preserving STACS segmentation of protein subcellular location images. [Citation Graph (0, 0)][DBLP]
    ISBI, 2006, pp:566-569 [Conf]
  27. Ying Sun, José M. F. Moura, Dewen Yang, Qing Ye, Chien Ho
    Kidney segmentation in MRI sequences using temporal dynamics. [Citation Graph (0, 0)][DBLP]
    ISBI, 2002, pp:98-101 [Conf]
  28. Ying Sun, Marie-Pierre Jolly, José M. F. Moura
    Contrast-Invariant Registration of Cardiac and Renal MR Perfusion Images. [Citation Graph (0, 0)][DBLP]
    MICCAI (1), 2004, pp:903-910 [Conf]
  29. Nikhil Balram, C. Belo, José M. F. Moura
    Parallel processing on supercomputers: a set of computional experiments. [Citation Graph (0, 0)][DBLP]
    SC, 1988, pp:247-257 [Conf]
  30. Hideyuki Tokuda, Yoshito Tobe, Stephen T.-C. Chou, José M. F. Moura
    Continuous Media Communication with Dynamic QOS Control Using ARTS with an FDDI Network. [Citation Graph (0, 0)][DBLP]
    SIGCOMM, 1992, pp:88-98 [Conf]
  31. Jeremy R. Johnson, José M. F. Moura, Markus Püschel, Daniel N. Rockmore
    Special issue on computer algebra and signal processing: forward by the guest editors. [Citation Graph (0, 0)][DBLP]
    J. Symb. Comput., 2004, v:37, n:2, pp:133-135 [Journal]
  32. Pedro M. Q. Aguiar, José M. F. Moura
    Rank 1 Weighted Factorization for 3D Structure Recovery: Algorithms and Performance Analysis. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2003, v:25, n:9, pp:1134-1049 [Journal]
  33. Markus Püschel, José M. F. Moura
    The Algebraic Approach to the Discrete Cosine and Sine Transforms and Their Fast Algorithms. [Citation Graph (0, 0)][DBLP]
    SIAM J. Comput., 2003, v:32, n:5, pp:1280-1316 [Journal]
  34. Pedro M. Q. Aguiar, José M. F. Moura
    Three-dimensional modeling from two-dimensional video. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2001, v:10, n:10, pp:1541-1551 [Journal]
  35. Pedro M. Q. Aguiar, José M. F. Moura
    Figure-ground segmentation from occlusion. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2005, v:14, n:8, pp:1109-1124 [Journal]
  36. Nikhil Balram, José M. F. Moura
    Noncausal predictive image codec. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1996, v:5, n:8, pp:1229-1242 [Journal]
  37. Amir Asif, José M. F. Moura
    Data assimilation in large time-varying multidimensional fields. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 1999, v:8, n:11, pp:1593-1607 [Journal]
  38. Victor H. S. Ha, José M. F. Moura
    Affine-permutation invariance of 2-D shapes. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2005, v:14, n:11, pp:1687-1700 [Journal]
  39. Susan M. Schweizer, José M. F. Moura
    Efficient detection in hyperspectral imagery. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Image Processing, 2001, v:10, n:4, pp:584-597 [Journal]
  40. Nikhil Balram, José M. F. Moura
    Noncausal Gauss Markov random fields: Parameter structure and estimation. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1993, v:39, n:4, pp:1333-1355 [Journal]
  41. R. S. Bucy, José M. F. Moura, A. J. Mallinckrodt
    A Monte Carlo study of absolute phase determination. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1983, v:29, n:4, pp:509-520 [Journal]
  42. Aleksandar Kavcic, José M. F. Moura
    The Viterbi algorithm and Markov noise memory. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2000, v:46, n:1, pp:291-301 [Journal]
  43. Aleksandar Kavcic, José M. F. Moura
    Matrices with banded inverses: Inversion algorithms and factorization of Gauss-Markov processes. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2000, v:46, n:4, pp:1495-1509 [Journal]
  44. José M. F. Moura, Nikhil Balram
    Recursive structure of noncausal Gauss-Markov random fields. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1992, v:38, n:2, pp:334-354 [Journal]
  45. José M. F. Moura, S. Goswami
    Gauss-Markov random fields (CMrf) with continuous indices. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 1997, v:43, n:5, pp:1560-1573 [Journal]
  46. Susan M. Schweizer, José M. F. Moura
    Hyperspectral imagery: Clutter adaptation in anomaly detection. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2000, v:46, n:5, pp:1855-1871 [Journal]
  47. Donald L. Snyder, Alfred O. Hero III, Pierre Moulin, José M. F. Moura, Joseph A. O'Sullivan
    Introduction to the special issue on information-theoretic imaging. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2000, v:46, n:5, pp:1709-1713 [Journal]
  48. Jin Lu, José M. F. Moura
    TS-LDPC Codes: Turbo-Structured Codes With Large Girth. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Information Theory, 2007, v:53, n:3, pp:1080-1094 [Journal]
  49. Charnchai Pluempitiwiriyawej, José M. F. Moura, Yi-Jen Lin Wu, Chien Ho
    STACS: new active contour scheme for cardiac MR image segmentation. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Med. Imaging, 2005, v:24, n:5, pp:593-603 [Journal]
  50. Jia-Ching Cheng, José M. F. Moura
    Capture and Representation of Human Walking in Live Video Sequences. [Citation Graph (0, 0)][DBLP]
    IEEE Transactions on Multimedia, 1999, v:1, n:2, pp:144-156 [Journal]
  51. Markus Püschel, José M. F. Moura
    Algebraic Signal Processing Theory: Cooley-Tukey Type Algorithms for DCTs and DSTs [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  52. Soummya Kar, José M. F. Moura
    Sensor Networks with Random Links: Topology Design for Distributed Consensus [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]
  53. Markus Püschel, José M. F. Moura
    Algebraic Signal Processing Theory [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  54. Soummya Kar, Saeed A. Aldosari, José M. F. Moura
    Topology for Distributed Inference on Graphs [Citation Graph (0, 0)][DBLP]
    CoRR, 2006, v:0, n:, pp:- [Journal]
  55. Usman A. Khan, José M. F. Moura
    Distributing the Kalman Filter for Large-Scale Systems [Citation Graph (0, 0)][DBLP]
    CoRR, 2007, v:0, n:, pp:- [Journal]

  56. Generating FPGA-Accelerated DFT Libraries. [Citation Graph (, )][DBLP]


  57. Classification by Cheeger Constant Regularization. [Citation Graph (, )][DBLP]


  58. Joint Segmentation of Moving Object and Estimation of Background in Low-Light Video using Relaxation. [Citation Graph (, )][DBLP]


  59. Time Reversal Beamforming for Microwave Breast Cancer Detection. [Citation Graph (, )][DBLP]


  60. LASIC: A model invariant framework for correspondence. [Citation Graph (, )][DBLP]


  61. Shapes as empirical distributions. [Citation Graph (, )][DBLP]


  62. Network traffic behavior analysis by decomposition into control and data planes. [Citation Graph (, )][DBLP]


  63. Domain-specific library generation for parallel software and hardware platforms. [Citation Graph (, )][DBLP]


  64. Breast cancer detection by time reversal imaging. [Citation Graph (, )][DBLP]


  65. Detecting Botnets Using Command and Control Traffic. [Citation Graph (, )][DBLP]


  66. Multiple Antenna Time Reversal Transmission in Ultra-Wideband Communications. [Citation Graph (, )][DBLP]


  67. Periodic Behavior in Botnet Command and Control Channels Traffic. [Citation Graph (, )][DBLP]


  68. Distributed average consensus in sensor networks with quantized inter-sensor communication. [Citation Graph (, )][DBLP]


  69. Position location by time reversal in communication networks. [Citation Graph (, )][DBLP]


  70. Experimental study of extended target imaging by time reversal SAR. [Citation Graph (, )][DBLP]


  71. Field inversion by consensus and compressed sensing. [Citation Graph (, )][DBLP]


  72. Higher dimensional consensus algorithms in sensor networks. [Citation Graph (, )][DBLP]


  73. A mixed time-scale algorithm for distributed parameter estimation : Nonlinear observation models and imperfect communication. [Citation Graph (, )][DBLP]


  74. Distributed Consensus Algorithms in Sensor Networks: Link Failures and Channel Noise [Citation Graph (, )][DBLP]


  75. Distributed Consensus Algorithms in Sensor Networks: Quantized Data [Citation Graph (, )][DBLP]


  76. Distributed Sensor Localization in Random Environments using Minimal Number of Anchor Nodes [Citation Graph (, )][DBLP]


  77. Distributed Parameter Estimation in Sensor Networks: Nonlinear Observation Models and Imperfect Communication [Citation Graph (, )][DBLP]


  78. Linear Time Encoding of LDPC Codes [Citation Graph (, )][DBLP]


  79. Kalman Filtering with Intermittent Observations: Weak Convergence to a Stationary Distribution [Citation Graph (, )][DBLP]


  80. Higher Dimensional Consensus: Learning in Large-Scale Networks [Citation Graph (, )][DBLP]


  81. Weight Optimization for Consensus Algorithms with Correlated Switching Topology [Citation Graph (, )][DBLP]


  82. Recursive Estimation of Gauss-Markov Random Fields Indexed over 1-D Space [Citation Graph (, )][DBLP]


  83. Consensus in Correlated Random Topologies: Weights for Finite Time Horizon [Citation Graph (, )][DBLP]


  84. A Random Dynamical Systems Approach to Filtering in Large-scale Networks [Citation Graph (, )][DBLP]


  85. DILAND: An Algorithm for Distributed Sensor Localization with Noisy Distance Measurements [Citation Graph (, )][DBLP]


  86. Kalman Filtering with Intermittent Observations: Weak Convergence and Moderate Deviations [Citation Graph (, )][DBLP]


  87. Gossip Algorithms for Distributed Signal Processing [Citation Graph (, )][DBLP]


  88. Gossip and Distributed Kalman Filtering: Weak Consensus under Weak Detectability [Citation Graph (, )][DBLP]


  89. Cooperative Convex Optimization in Networked Systems: Augmented Lagrangian Algorithms with Directed Gossip Communication [Citation Graph (, )][DBLP]


  90. Distributed Detection over Random Networks: Large Deviations Analysis [Citation Graph (, )][DBLP]


  91. Graphical Models as Block-Tree Graphs [Citation Graph (, )][DBLP]


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