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Hidemitsu Ogawa: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Masashi Sugiyama, Hidemitsu Ogawa
    A new information criterion for the selection of subspace models. [Citation Graph (0, 0)][DBLP]
    ESANN, 2000, pp:69-74 [Conf]
  2. Masashi Sugiyama, Hidemitsu Ogawa
    Incremental Active Learning with Bias Reduction. [Citation Graph (0, 0)][DBLP]
    IJCNN (1), 2000, pp:15-20 [Conf]
  3. Masashi Sugiyama, Hidemitsu Ogawa
    Training Data Selection for Optimal Generalization in Trigonometric Polynomial Networks. [Citation Graph (0, 0)][DBLP]
    NIPS, 1999, pp:624-630 [Conf]
  4. Hidemitsu Ogawa, Yoshinori Isomichi
    Optimum Spatial Filter and Uncertainty [Citation Graph (0, 0)][DBLP]
    Information and Control, 1969, v:14, n:2, pp:180-216 [Journal]
  5. Marko Jankovic, Hidemitsu Ogawa
    A New Modulated Hebbian Learning Rule - Biologically Plausible Method for Local Computation of a Principal Subspace. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2003, v:13, n:4, pp:215-223 [Journal]
  6. Marko Jankovic, Hidemitsu Ogawa
    Time-oriented hierarchical method for computation of principal components using subspace learning algorithm. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 2004, v:14, n:5, pp:313-323 [Journal]
  7. Sethu Vijayakumar, Hidemitsu Ogawa
    RKHS-based functional analysis for exact incremental learning. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1999, v:29, n:1-3, pp:85-113 [Journal]
  8. Masashi Sugiyama, Hidemitsu Ogawa
    Theoretical and Experimental Evaluation of the Subspace Information Criterion. [Citation Graph (0, 0)][DBLP]
    Machine Learning, 2002, v:48, n:1-3, pp:25-50 [Journal]
  9. Masashi Sugiyama, Hidemitsu Ogawa
    Subspace Information Criterion for Model Selection. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:8, pp:1863-1889 [Journal]
  10. Masashi Sugiyama, Hidemitsu Ogawa
    Incremental Active Learning for Optimal Generalization. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:12, n:12, pp:2909-2940 [Journal]
  11. Akiko Nakashima, Akira Hirabayashi, Hidemitsu Ogawa
    Error correcting memorization learning for noisy training examples. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:1, pp:79-92 [Journal]
  12. Akiko Nakashima, Hidemitsu Ogawa
    Noise suppression in training examples for improving generalization capability. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:4-5, pp:459-469 [Journal]
  13. Masashi Sugiyama, Hidemitsu Ogawa
    Incremental projection learning for optimal generalization. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:1, pp:53-66 [Journal]
  14. Masashi Sugiyama, Hidemitsu Ogawa
    Properties of incremental projection learning. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2001, v:14, n:1, pp:67-78 [Journal]
  15. Masashi Sugiyama, Hidemitsu Ogawa
    Optimal design of regularization term and regularization parameter by subspace information criterion. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2002, v:15, n:3, pp:349-361 [Journal]
  16. D. Liu, Yukihiko Yamashita, Hidemitsu Ogawa
    Pattern recognition in the presence of noise. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1995, v:28, n:7, pp:989-995 [Journal]
  17. Akira Hirabayashi, Hidemitsu Ogawa
    A family of projection learnings. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2001, v:32, n:5, pp:21-35 [Journal]
  18. Hidekazu Iwaki, Hidemitsu Ogawa, Akira Hirabayashi
    Optimally generalizing neural networks with the ability to recover from single stuck-at r faults. [Citation Graph (0, 0)][DBLP]
    Systems and Computers in Japan, 2002, v:33, n:7, pp:114-123 [Journal]
  19. Masashi Sugiyama, Hidemitsu Ogawa
    A unified method for optimizing linear image restoration filters. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2002, v:82, n:11, pp:1773-1787 [Journal]
  20. Ganka Petkova Kovacheva, Hidemitsu Ogawa
    Radial basis function classifier for fault diagnostics. [Citation Graph (0, 0)][DBLP]
    ISICT, 2003, pp:64-69 [Conf]

  21. Optimal noise suppression: A geometric nature of pseudoframes for subspaces. [Citation Graph (, )][DBLP]


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