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Roberto Paredes: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Kieron Messer, Josef Kittler, Mohammad Sadeghi, Sébastien Marcel, Christine Marcel, Samy Bengio, Fabien Cardinaux, Conrad Sanderson, Jacek Czyz, Luc Vandendorpe, Sanun Srisuk, Maria Petrou, Werasak Kurutach, Alexander Kadyrov, Roberto Paredes, Burcu Kepenekci, F. Boray Tek, Gozde Bozdagi Akar, Farzin Deravi, Nick Mavity
    Face Verification Competition on the XM2VTS Database. [Citation Graph (0, 0)][DBLP]
    AVBPA, 2003, pp:964-974 [Conf]
  2. Roberto Paredes, Daniel Keysers, Thomas Martin Lehmann, Berthold B. Wein, Hermann Ney, Enrique Vidal
    Classification of Medical Images Using local Representations. [Citation Graph (0, 0)][DBLP]
    Bildverarbeitung für die Medizin, 2002, pp:171-174 [Conf]
  3. Thomas Deselaers, Daniel Keysers, Roberto Paredes, Enrique Vidal, Hermann Ney
    Local Representations for Multi-object Recognition. [Citation Graph (0, 0)][DBLP]
    DAGM-Symposium, 2003, pp:305-312 [Conf]
  4. Daniel Keysers, Roberto Paredes, Enrique Vidal, Hermann Ney
    Comparison of Log-linear Models and Weighted Dissimilarity Measures. [Citation Graph (0, 0)][DBLP]
    IbPRIA, 2003, pp:370-377 [Conf]
  5. Rafael Llobet, Roberto Paredes, Juan Carlos Pérez-Cortes
    Comparison of Feature Extraction Methods for Breast Cancer Detection. [Citation Graph (0, 0)][DBLP]
    IbPRIA (2), 2005, pp:495-502 [Conf]
  6. José García-Hernández, Stella Heras, Alfons Juan, Roberto Paredes, Beatriz Nácher, Sandra Alemany, Enrique Alcántara, Juan Carlos González
    The MORFO3D Foot Database. [Citation Graph (0, 0)][DBLP]
    IbPRIA (2), 2005, pp:658-665 [Conf]
  7. Tobias Kölsch, Daniel Keysers, Hermann Ney, Roberto Paredes
    Enhancements for Local Feature Based Image Classification. [Citation Graph (0, 0)][DBLP]
    ICPR (1), 2004, pp:248-251 [Conf]
  8. Roberto Paredes, Enrique Vidal
    Learning Prototypes and Distances (LPD). A Prototype Reduction Technique based on Nearest Neighbor Error Minimization. [Citation Graph (0, 0)][DBLP]
    ICPR (3), 2004, pp:442-445 [Conf]
  9. Roberto Paredes, Juan Carlos Pérez-Cortes, Alfons Juan, Enrique Vidal
    Local Representations and a direct Voting Scheme for Face Recognition. [Citation Graph (0, 0)][DBLP]
    PRIS, 2001, pp:71-79 [Conf]
  10. Daniel Keysers, Roberto Paredes, Hermann Ney, Enrique Vidal
    Combination of Tangent Vectors and Local Representations for Handwritten Digit Recognition. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2002, pp:538-547 [Conf]
  11. Roberto Paredes, Enrique Vidal, Francisco Casacuberta
    Local Features for Speaker Recognition. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:1087-1095 [Conf]
  12. Roberto Paredes, Enrique Vidal
    Learning Weighted Metrics to Minimize Nearest-Neighbor Classification Error. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 2006, v:28, n:7, pp:1100-1110 [Journal]
  13. Roberto Paredes, Enrique Vidal
    Learning prototypes and distances: A prototype reduction technique based on nearest neighbor error minimization. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2006, v:39, n:2, pp:180-188 [Journal]
  14. Roberto Paredes, Enrique Vidal
    A class-dependent weighted dissimilarity measure for nearest neighbor classification problems. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2000, v:21, n:12, pp:1027-1036 [Journal]
  15. Mauricio Villegas, Roberto Paredes
    Face Recognition in Color Using Complex and Hypercomplex Representations. [Citation Graph (0, 0)][DBLP]
    IbPRIA (1), 2007, pp:217-224 [Conf]

  16. Simultaneous learning of a discriminative projection and prototypes for Nearest-Neighbor classification. [Citation Graph (, )][DBLP]


  17. Score Fusion by Maximizing the Area under the ROC Curve. [Citation Graph (, )][DBLP]


  18. Face Video Competition. [Citation Graph (, )][DBLP]


  19. Fast Discriminative Linear Models for Scalable Video Tagging. [Citation Graph (, )][DBLP]


  20. Learning weighted distances for relevance feedback in image retrieval. [Citation Graph (, )][DBLP]


  21. A Probabilistic Model for User Relevance Feedback on Image Retrieval. [Citation Graph (, )][DBLP]


  22. TubeFiler: an automatic web video categorizer. [Citation Graph (, )][DBLP]


  23. Large-Scale Text to Image Retrieval Using a Bayesian K-Neighborhood Model. [Citation Graph (, )][DBLP]


  24. Semi-supervised Distance Metric Learning for Visual Object Classification. [Citation Graph (, )][DBLP]


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