Hidemitsu Ogawa

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