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José R. Dorronsoro: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Kostadin Koroutchev, José R. Dorronsoro
    Factorization of Natural 4×4 Patch Distributions. [Citation Graph (0, 0)][DBLP]
    ECCV Workshop SMVP, 2004, pp:165-174 [Conf]
  2. Kostadin Koroutchev, José R. Dorronsoro
    Hash-Like Fractal Image Compression with Linear Execution Time. [Citation Graph (0, 0)][DBLP]
    IbPRIA, 2003, pp:395-402 [Conf]
  3. Iván Cantador, José R. Dorronsoro
    Parallel Perceptrons, Activation Margins and Imbalanced Training Set Pruning. [Citation Graph (0, 0)][DBLP]
    IbPRIA (2), 2005, pp:43-50 [Conf]
  4. Carlos Santa Cruz, José R. Dorronsoro
    A Nonlinear Discriminant Algorithm for Data Projection and Feature Extraction. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:563-568 [Conf]
  5. José R. Dorronsoro, Ana M. González
    Natural Gradient and Multiclass NLDA Networks. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:673-680 [Conf]
  6. José R. Dorronsoro, Ana M. González, Carlos Santa Cruz
    Architecture Selection in NLDA Networks. [Citation Graph (0, 0)][DBLP]
    ICANN, 2001, pp:27-32 [Conf]
  7. Ana M. González, Iván Cantador, José R. Dorronsoro
    Discriminant Parallel Perceptrons. [Citation Graph (0, 0)][DBLP]
    ICANN (2), 2005, pp:13-18 [Conf]
  8. Ana M. González, José R. Dorronsoro
    Natural Conjugate Gradient Training of Multilayer Perceptrons. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2006, pp:169-177 [Conf]
  9. Daniel García, Ana M. González, José R. Dorronsoro
    Convex Perceptrons. [Citation Graph (0, 0)][DBLP]
    IDEAL, 2006, pp:578-585 [Conf]
  10. David Aguado, José R. Dorronsoro, Beatriz Lucía, Carlos Santa Cruz
    Small Sample Discrimination and Professional Performance Assessment. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 1999, pp:558-566 [Conf]
  11. Iván Cantador, José R. Dorronsoro
    Balanced Boosting with Parallel Perceptrons. [Citation Graph (0, 0)][DBLP]
    IWANN, 2005, pp:208-216 [Conf]
  12. Carlos Santa Cruz, José R. Dorronsoro, Juan A. Sigüenza, Vicente López
    Noise Discrimination and Autoassociative Neural Networks. [Citation Graph (0, 0)][DBLP]
    IWANN, 1997, pp:1213-1220 [Conf]
  13. José R. Dorronsoro, Ana M. González, Carlos Santa Cruz
    Natural Gradient Learning in NLDA Networks. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2001, pp:427-434 [Conf]
  14. José R. Dorronsoro, Ana M. González, Eduardo Serrano
    Linear Unit Relevance in Multiclass NLDA Networks. [Citation Graph (0, 0)][DBLP]
    IWANN (1), 2003, pp:174-181 [Conf]
  15. Ana M. González, Carlos Santa Cruz, Vicente López, José R. Dorronsoro
    Fast Automatic Architecture Selection on RBF Networks. [Citation Graph (0, 0)][DBLP]
    IWANN, 1995, pp:291-297 [Conf]
  16. Kostadin Koroutchev, José R. Dorronsoro
    A New Information Measure for Natural Images. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 2003, pp:520-527 [Conf]
  17. Iván Cantador, José R. Dorronsoro
    Boosting Parallel Perceptrons for Label Noise Reduction in Classification Problems. [Citation Graph (0, 0)][DBLP]
    IWINAC (2), 2005, pp:586-593 [Conf]
  18. Kostadin Koroutchev, José R. Dorronsoro
    Statistical Structure of Natural 4 × 4 Image Patches. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:452-460 [Conf]
  19. José R. Dorronsoro, Vicente López, Carlos Santa Cruz, Juan A. Sigüenza
    Redes neuronales y clasificacion de datos: diagnóstico médico, reconocimiento de caracteres y detección de fraude. [Citation Graph (0, 0)][DBLP]
    Inteligencia Artificial, Revista Iberoamericana de Inteligencia Artificial, 1997, v:1, n:, pp:41-47 [Journal]
  20. Daniel García, Ana M. González, José R. Dorronsoro
    Accelerating Kernel Perceptron Learning. [Citation Graph (0, 0)][DBLP]
    ICANN (1), 2007, pp:159-168 [Conf]
  21. Daniel García, Ana M. González, José R. Dorronsoro
    Coefficient Structure of Kernel Perceptrons and Support Vector Reduction. [Citation Graph (0, 0)][DBLP]
    IWINAC (1), 2007, pp:337-345 [Conf]
  22. Ana M. González, José R. Dorronsoro
    Natural learning in NLDA networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2007, v:20, n:5, pp:610-620 [Journal]

  23. An accelerated MDM algorithm for SVM training. [Citation Graph (, )][DBLP]


  24. A 4-Vector MDM Algorithm for Support Vector Training. [Citation Graph (, )][DBLP]


  25. A Simple Proof of the Convergence of the SMO Algorithm for Linearly Separable Problems. [Citation Graph (, )][DBLP]


  26. A Common Framework for the Convergence of the GSK, MDM and SMO Algorithms. [Citation Graph (, )][DBLP]


  27. Faster Directions for Second Order SMO. [Citation Graph (, )][DBLP]


  28. Square Penalty Support Vector Regression. [Citation Graph (, )][DBLP]


  29. A Note on Conjugate Natural Gradient Training of Multilayer Perceptrons. [Citation Graph (, )][DBLP]


  30. A Simple Maximum Gain Algorithm for Support Vector Regression. [Citation Graph (, )][DBLP]


  31. On the Equivalence of the SMO and MDM Algorithms for SVM Training. [Citation Graph (, )][DBLP]


  32. Simple Clipping Algorithms for Reduced Convex Hull SVM Training. [Citation Graph (, )][DBLP]


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