Kiyotoshi Matsuoka

According to our database, Kiyotoshi Matsuoka authored at least 29 papers between 1991 and 2012.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2012

Stability of independent vector analysis.

Takashi Itahashi, Kiyotoshi Matsuoka

Signal Process., 2012

Tensor classification for P300-based brain computer interface.

Akinari Onishi, Anh Huy Phan, Kiyotoshi Matsuoka, Andrzej Cichocki

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach.

Anh Huy Phan, Andrzej Cichocki, Petr Tichavský, Danilo P. Mandic, Kiyotoshi Matsuoka

Proceedings of the Latent Variable Analysis and Signal Separation, 2012

2011

Analysis of a neural oscillator.

Kiyotoshi Matsuoka

Biol. Cybern., 2011

Novel hierarchical ALS algorithm for nonnegative tensor factorization.

Anh Huy Phan, Andrzej Cichocki, Kiyotoshi Matsuoka, Jianting Cao

Proceedings of the IEEE International Conference on Acoustics, 2011

Singular Perturbation Approach with Matsuoka Oscillator and Synchronization Phenomena.

Yasuomi D. Sato, Kazuki Nakada, Kiyotoshi Matsuoka

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

2009

A Time-domain Blind Source Separation by the Newton Method.

Kiyotoshi Matsuoka, Takashi Itahashi

Proceedings of the International Symposium on Circuits and Systems (ISCAS 2009), 2009

2008

Elimination of filtering indeterminacy in blind source separation.

Kiyotoshi Matsuoka

Neurocomputing, 2008

2007

An adaptive blind separation method using para-Hermitian whitening filter for convolutively mixed signals.

Masashi Ohata, Kiyotoshi Matsuoka, Toshiharu Mukai

Signal Process., 2007

Frequency-Domain Implementation of a Time-Domain Blind Separation Algorithm for Convolutive Mixtures of Sources.

Masashi Ohata, Kiyotoshi Matsuoka

Proceedings of the Independent Component Analysis and Signal Separation, 2007

2005

Blind separation of convolutive mixtures of speech signals using linear combination model.

Masashi Ohata, Toshiharu Mukai, Kiyotoshi Matsuoka

Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

Control of a Giant Swing Robot Using a Neural Oscillator.

Kiyotoshi Matsuoka, Norifumi Ohyama, Atsushi Watanabe, Masataka Ooshima

Proceedings of the Advances in Natural Computation, First International Conference, 2005

2004

Blind separation with Gaussian mixture model for convolutively mixed sources.

Masashi Ohata, Toshiharu Mukai, Kiyotoshi Matsuoka

Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

2002

Stability analyses of information-theoretic blind separation algorithms in the case where the sources are nonlinear processes.

Masashi Ohata, Kiyotoshi Matsuoka

IEEE Trans. Signal Process., 2002

Principles for eliminating two kinds of indeterminacy in blind source separation.

Kiyotoshi Matsuoka

Proceedings of the 14th International Conference on Digital Signal Processing, 2002

1999

A general theory of a class of linear neural nets for principal and minor component analysis.

Kiyotoshi Matsuoka

Artif. Life Robotics, 1999

Real world blind separation of convolved speech signals.

Mitsuru Kawamoto, Kiyotoshi Matsuoka, Noboru Ohnishi

Proceedings of the International Joint Conference Neural Networks, 1999

1998

A method of blind separation for convolved non-stationary signals.

Mitsuru Kawamoto, Kiyotoshi Matsuoka, Noboru Ohnishi

Neurocomputing, 1998

Blind Separation for Convolutive Mixtures of Non-stationary Signals.

Mitsuru Kawamoto, Allan Kardec Barros, Ali Mansour, Kiyotoshi Matsuoka, Noboru Ohnishi

Proceedings of the Fifth International Conference on Neural Information Processing, 1998

1996

The learning of linear neural nets with anti-hebbian rules.

Kiyotoshi Matsuoka, Mitsuru Kawamoto

Syst. Comput. Jpn., 1996

1995

A neural net for blind separation of nonstationary signals.

Kiyotoshi Matsuoka, Masahiro Ohoya, Mitsuru Kawamoto

Neural Networks, 1995

1994

A neural network that self-organizes to perform three operations related to principal component analysis.

Kiyotoshi Matsuoka, Mitsuru Kawamoto

Neural Networks, 1994

1992

Noise injection into inputs in back-propagation learning.

Kiyotoshi Matsuoka

IEEE Trans. Syst. Man Cybern., 1992

Absolute stability of neural networks.

Kiyotoshi Matsuoka

Syst. Comput. Jpn., 1992

Stability conditions for nonlinear continuous neural networks with asymmetric connection weights.

Kiyotoshi Matsuoka

Neural Networks, 1992

1991

A novel model of autoassociative memory and its self-organization.

Kiyotoshi Matsuoka

IEEE Trans. Syst. Man Cybern., 1991

Back-propagation learning of neural networks for translation invariant pattern recognition.

Jianqiang Yi, Shuichi Kurogi, Kiyotoshi Matsuoka

Syst. Comput. Jpn., 1991

Learning of neural networks using their adjoint systems.

Kiyotoshi Matsuoka

Syst. Comput. Jpn., 1991

An approach to the generalization problem in the backpropagation method.

Kiyotoshi Matsuoka

Syst. Comput. Jpn., 1991