Kiyotoshi Matsuoka

29 papers B 2C 1Misc 2Journal 17Unranked 7
YearRankTypeTitle / Venue / Authors
2012 — conf
On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach.
LVA/ICA
Anh Huy Phan, Andrzej Cichocki, Petr Tichavský, Danilo P. Mandic, Kiyotoshi Matsuoka
2012 J jnl
Stability of independent vector analysis.
Signal Process.
Takashi Itahashi, Kiyotoshi Matsuoka
2012 Misc conf
Tensor classification for P300-based brain computer interface.
ICASSP
Akinari Onishi, Anh Huy Phan, Kiyotoshi Matsuoka, Andrzej Cichocki
2011 J jnl
Analysis of a neural oscillator.
Biol. Cybern.
Kiyotoshi Matsuoka
2011 Misc conf
Novel hierarchical ALS algorithm for nonnegative tensor factorization.
ICASSP
Anh Huy Phan, Andrzej Cichocki, Kiyotoshi Matsuoka, Jianting Cao
2011 — conf
Singular Perturbation Approach with Matsuoka Oscillator and Synchronization Phenomena.
ICANN (2)
Yasuomi D. Sato, Kazuki Nakada, Kiyotoshi Matsuoka
2009 C conf
A Time-domain Blind Source Separation by the Newton Method.
ISCAS
Kiyotoshi Matsuoka, Takashi Itahashi
2008 J jnl
Elimination of filtering indeterminacy in blind source separation.
Neurocomputing
Kiyotoshi Matsuoka
2007 J jnl
An adaptive blind separation method using para-Hermitian whitening filter for convolutively mixed signals.
Signal Process.
Masashi Ohata, Kiyotoshi Matsuoka, Toshiharu Mukai
2007 — conf
Frequency-Domain Implementation of a Time-Domain Blind Separation Algorithm for Convolutive Mixtures of Sources.
ICA
Masashi Ohata, Kiyotoshi Matsuoka
2005 — conf
Blind separation of convolutive mixtures of speech signals using linear combination model.
ISSPA
Masashi Ohata, Toshiharu Mukai, Kiyotoshi Matsuoka
2005 — conf
Control of a Giant Swing Robot Using a Neural Oscillator.
ICNC (2)
Kiyotoshi Matsuoka, Norifumi Ohyama, Atsushi Watanabe, Masataka Ooshima
2004 — conf
Blind separation with Gaussian mixture model for convolutively mixed sources.
ISCAS (5)
Masashi Ohata, Toshiharu Mukai, Kiyotoshi Matsuoka
2002 — conf
Principles for eliminating two kinds of indeterminacy in blind source separation.
DSP
Kiyotoshi Matsuoka
2002 J jnl
Stability analyses of information-theoretic blind separation algorithms in the case where the sources are nonlinear processes.
IEEE Trans. Signal Process.
Masashi Ohata, Kiyotoshi Matsuoka
1999 J jnl
A general theory of a class of linear neural nets for principal and minor component analysis.
Artif. Life Robotics
Kiyotoshi Matsuoka
1999 B conf
Real world blind separation of convolved speech signals.
IJCNN
Mitsuru Kawamoto, Kiyotoshi Matsuoka, Noboru Ohnishi
1998 J jnl
A method of blind separation for convolved non-stationary signals.
Neurocomputing
Mitsuru Kawamoto, Kiyotoshi Matsuoka, Noboru Ohnishi
1998 B conf
Blind Separation for Convolutive Mixtures of Non-stationary Signals.
ICONIP
Mitsuru Kawamoto, Allan Kardec Barros, Ali Mansour, Kiyotoshi Matsuoka, Noboru Ohnishi
1996 J jnl
The learning of linear neural nets with anti-hebbian rules.
Syst. Comput. Jpn.
Kiyotoshi Matsuoka, Mitsuru Kawamoto
1995 J jnl
A neural net for blind separation of nonstationary signals.
Neural Networks
Kiyotoshi Matsuoka, Masahiro Ohoya, Mitsuru Kawamoto
1994 J jnl
A neural network that self-organizes to perform three operations related to principal component analysis.
Neural Networks
Kiyotoshi Matsuoka, Mitsuru Kawamoto
1992 J jnl
Absolute stability of neural networks.
Syst. Comput. Jpn.
Kiyotoshi Matsuoka
1992 J jnl
Noise injection into inputs in back-propagation learning.
IEEE Trans. Syst. Man Cybern.
Kiyotoshi Matsuoka
1992 J jnl
Stability conditions for nonlinear continuous neural networks with asymmetric connection weights.
Neural Networks
Kiyotoshi Matsuoka
1991 J jnl
A novel model of autoassociative memory and its self-organization.
IEEE Trans. Syst. Man Cybern.
Kiyotoshi Matsuoka
1991 J jnl
An approach to the generalization problem in the backpropagation method.
Syst. Comput. Jpn.
Kiyotoshi Matsuoka
1991 J jnl
Back-propagation learning of neural networks for translation invariant pattern recognition.
Syst. Comput. Jpn.
Jianqiang Yi, Shuichi Kurogi, Kiyotoshi Matsuoka
1991 J jnl
Learning of neural networks using their adjoint systems.
Syst. Comput. Jpn.
Kiyotoshi Matsuoka