Hidemitsu Ogawa

Publication Activity (10 Years)

Years Active: 1969-2009
Publications (10 Years): 0

Publications

Hidemitsu Ogawa
What Can We See behind Sampling Theorems? IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (3) (2009)
Shidong Li, Hidemitsu Ogawa
Optimal noise suppression: A geometric nature of pseudoframes for subspaces. Adv. Comput. Math. 28 (2) (2008)
Marko Jankovic, Hidemitsu Ogawa
Modulated Hebb-Oja learning Rule-a method for principal subspace analysis. IEEE Trans. Neural Networks 17 (2) (2006)
Masashi Sugiyama, Hidemitsu Ogawa
Constructing Kernel Functions for Binary Regression. IEICE Trans. Inf. Syst. (7) (2006)
Aqeel Syed, Hidemitsu Ogawa
Optimal Sampling Operator for Signal Restoration in the Presence of Signal Space and Observation Space Noises. IEICE Trans. Inf. Syst. (12) (2005)
Aqeel Syed, Hidemitsu Ogawa
Partial Projection Filter for Signal Restoration in the Presence of Signal Space Noise. IEICE Trans. Inf. Syst. (12) (2004)
Aqeel Syed, Hidemitsu Ogawa
Characterization and Implementation of Partial Projection Filter in the Presence of Signal Space Noise. IEICE Trans. Inf. Syst. (12) (2004)
Marko Jankovic, Hidemitsu Ogawa
Time-oriented hierarchical method for computation of principal components using subspace learning algorithm. Int. J. Neural Syst. 14 (5) (2004)
Ganka Petkova Kovacheva, Hidemitsu Ogawa
Radial basis function classifier for fault diagnostics. ISICT (2003)
Marko Jankovic, Hidemitsu Ogawa
A New Modulated Hebbian Learning Rule - Biologically Plausible Method for Local Computation of a Principal Subspace. Int. J. Neural Syst. 13 (4) (2003)
Masashi Sugiyama, Hidemitsu Ogawa
A unified method for optimizing linear image restoration filters. Signal Process. 82 (11) (2002)
Masashi Sugiyama, Hidemitsu Ogawa
Theoretical and Experimental Evaluation of the Subspace Information Criterion. Mach. Learn. 48 (1-3) (2002)
Hidekazu Iwaki, Hidemitsu Ogawa, Akira Hirabayashi
Optimally generalizing neural networks with the ability to recover from single stuck-at r faults. Systems and Computers in Japan 33 (7) (2002)
Masashi Sugiyama, Hidemitsu Ogawa
Optimal design of regularization term and regularization parameter by subspace information criterion. Neural Networks 15 (3) (2002)
Masashi Sugiyama, Hidemitsu Ogawa
Incremental projection learning for optimal generalization. Neural Networks 14 (1) (2001)
Akiko Nakashima, Akira Hirabayashi, Hidemitsu Ogawa
Error correcting memorization learning for noisy training examples. Neural Networks 14 (1) (2001)
Akira Hirabayashi, Hidemitsu Ogawa
A family of projection learnings. Systems and Computers in Japan 32 (5) (2001)
Masashi Sugiyama, Hidemitsu Ogawa
Subspace Information Criterion for Model Selection. Neural Comput. 13 (8) (2001)
Masashi Sugiyama, Hidemitsu Ogawa
Incremental Active Learning for Optimal Generalization. Neural Comput. 12 (12) (2001)
Akiko Nakashima, Hidemitsu Ogawa
Noise suppression in training examples for improving generalization capability. Neural Networks 14 (4-5) (2001)
Masashi Sugiyama, Hidemitsu Ogawa
Properties of incremental projection learning. Neural Networks 14 (1) (2001)
Masashi Sugiyama, Hidemitsu Ogawa
Incremental Active Learning with Bias Reduction. IJCNN (1) (2000)
Masashi Sugiyama, Hidemitsu Ogawa
A new information criterion for the selection of subspace models. ESANN (2000)
Sethu Vijayakumar, Hidemitsu Ogawa
RKHS-based functional analysis for exact incremental learning. Neurocomputing 29 (1-3) (1999)
Akira Hirabayashi, Hidemitsu Ogawa
What can memorization learning do? IJCNN (1999)
Masashi Sugiyama, Hidemitsu Ogawa
Training Data Selection for Optimal Generalization in Trigonometric Polynomial Networks. NIPS (1999)
Yukihiko Yamashita, Yasuyuki Ikeno, Hidemitsu Ogawa
Relative Karhunen-Loeve transform method for pattern recognition. ICPR (1998)
Akira Hirabayashi, Hidemitsu Ogawa
Admissibility of memorization learning with respect to projection learning in the presence of noise. ICNN (1996)
Yukihiko Yamashita, Hidemitsu Ogawa
Relative Karhunen-Loève transform. IEEE Trans. Signal Process. 44 (2) (1996)
Yuji Koide, Yukihiko Yamashita, Hidemitsu Ogawa
A unified theory of the family of projection filters for signal and image estimation. Systems and Computers in Japan 26 (4) (1995)
D. Liu, Yukihiko Yamashita, Hidemitsu Ogawa
Pattern recognition in the presence of noise. Pattern Recognit. 28 (7) (1995)
Sethu Vijayakumar, Hidemitsu Ogawa
A functional analytic approach to incremental learning in optimally generalizing neural networks. ICNN (1995)
Yukihiko Yamashita, Hidemitsu Ogawa
Relative Karhunen-Loeve operator. ICPR (3) (1994)
Kazutaka Yamasaki, Hidemitsu Ogawa
Methods for choosing a training set which prevents over-learning. Systems and Computers in Japan 25 (11) (1994)
Yukihiko Yamashita, Hidemitsu Ogawa
Optimum image restoration and topological invariance. Systems and Computers in Japan 24 (5) (1993)
Yukihiko Yamashita, Hidemitsu Ogawa
Optimum image restoration filters and generalized inverses of operators. Systems and Computers in Japan 24 (6) (1993)
Yukihiko Yamashita, Hidemitsu Ogawa
Mutual relations among optimum image restoration filters. Systems and Computers in Japan 24 (6) (1993)
Kazutaka Yamasaki, Hidemitsu Ogawa
A theory of over-learning in the presence of noise. ICNN (1993)
Hidemitsu Ogawa
Karhunen-Loeve Subspace. ICPR (2) (1992)
Yukihiko Yamashita, Hidemitsu Ogawa
Properties of averaged projection filter for image restoration. Systems and Computers in Japan 23 (1) (1992)
Yukihiko Yamashita, Hidemitsu Ogawa
Image restoration by averaged projection filter. Systems and Computers in Japan 23 (1) (1992)
Toyohiko Hayashi, Hidemitsu Ogawa, Taizo Iijima
A method of extracting a kinematically characteristic point from the 3-dimensional motion of a rigid body. Systems and Computers in Japan 20 (7) (1989)
Toyohiko Hayashi, Hidemitsu Ogawa, Taizo Iijima
Estimation of the Reciprocating Point of a Rigid Body Moving Periodically in a Two-Dimensional Space - An Iterative Method Using a Correspondence between the Forward Path and the Backward Path. Systems and Computers in Japan 20 (9) (1989)
Hidemitsu Ogawa
A unified approach to generalized sampling theorems. ICASSP (1986)
Erkki Oja, Hidemitsu Ogawa
Parametric projection filter for image and signal restoration. IEEE Trans. Acoust. Speech Signal Process. 34 (6) (1986)
Hidemitsu Ogawa, Yoshinori Isomichi
Optimum Spatial Filter and Uncertainty Inf. Control. 14 (2) (1969)