Kiyotoshi Matsuoka - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 29 from 29

2012

2011

Analysis of a neural oscillatorKiyotoshi Matsuoka. bc, 104(4-5):297-304, 2011. [doi]

Novel hierarchical ALS algorithm for nonnegative tensor factorizationAnh Huy Phan, Andrzej Cichocki, Kiyotoshi Matsuoka, Jianting Cao. icassp 2011: 1984-1987 [doi]

Singular Perturbation Approach with Matsuoka Oscillator and Synchronization PhenomenaYasuomi D. Sato, Kazuki Nakada, Kiyotoshi Matsuoka. icann 2011: 269-276 [doi]

2009

A Time-domain Blind Source Separation by the Newton MethodKiyotoshi Matsuoka, Takashi Itahashi. iscas 2009: 2790-2793 [doi]

2008

Elimination of filtering indeterminacy in blind source separationKiyotoshi Matsuoka. ijon, 71(10-12):2113-2126, 2008. [doi]

2007

Frequency-Domain Implementation of a Time-Domain Blind Separation Algorithm for Convolutive Mixtures of SourcesMasashi Ohata, Kiyotoshi Matsuoka. ica 2007: 528-535 [doi]

An adaptive blind separation method using para-Hermitian whitening filter for convolutively mixed signalsMasashi Ohata, Kiyotoshi Matsuoka, Toshiharu Mukai. sigpro, 87(1):33-50, 2007. [doi]

2005

Control of a Giant Swing Robot Using a Neural OscillatorKiyotoshi Matsuoka, Norifumi Ohyama, Atsushi Watanabe, Masataka Ooshima. icnc 2005: 274-282 [doi]

Blind separation of convolutive mixtures of speech signals using linear combination modelMasashi Ohata, Toshiharu Mukai, Kiyotoshi Matsuoka. isspa 2005: 33-36 [doi]

2004

Blind separation with Gaussian mixture model for convolutively mixed sourcesMasashi Ohata, Toshiharu Mukai, Kiyotoshi Matsuoka. iscas 2004: 13-16

2002

Principles for eliminating two kinds of indeterminacy in blind source separationKiyotoshi Matsuoka. icdsp 2002: 147-150 [doi]

Stability analyses of information-theoretic blind separation algorithms in the case where the sources are nonlinear processesMasashi Ohata, Kiyotoshi Matsuoka. tsp, 50(1):69-77, 2002. [doi]

1999

Real world blind separation of convolved speech signalsMitsuru Kawamoto, Kiyotoshi Matsuoka, Noboru Ohnishi. ijcnn 1999: 993-997 [doi]

A general theory of a class of linear neural nets for principal and minor component analysisKiyotoshi Matsuoka. alr, 3(4):246-254, 1999. [doi]

1998

Blind Separation for Convolutive Mixtures of Non-stationary SignalsMitsuru Kawamoto, Allan Kardec Barros, Ali Mansour, Kiyotoshi Matsuoka, Noboru Ohnishi. iconip 1998: 743-746

A method of blind separation for convolved non-stationary signalsMitsuru Kawamoto, Kiyotoshi Matsuoka, Noboru Ohnishi. ijon, 22(1-3):157-171, 1998. [doi]

1996

The learning of linear neural nets with anti-hebbian rulesKiyotoshi Matsuoka, Mitsuru Kawamoto. scjapan, 27(3):84-93, 1996. [doi]

1995

A neural net for blind separation of nonstationary signalsKiyotoshi Matsuoka, Masahiro Ohoya, Mitsuru Kawamoto. NN, 8(3):411-419, 1995. [doi]

1994

A neural network that self-organizes to perform three operations related to principal component analysisKiyotoshi Matsuoka, Mitsuru Kawamoto. NN, 7(5):753-765, 1994. [doi]

1992

Stability conditions for nonlinear continuous neural networks with asymmetric connection weightsKiyotoshi Matsuoka. NN, 5(3):495-500, 1992. [doi]

Noise injection into inputs in back-propagation learningKiyotoshi Matsuoka. tsmc, 22(3):436-440, 1992. [doi]

Absolute stability of neural networksKiyotoshi Matsuoka. scjapan, 23(3):102-109, 1992. [doi]

1991

A novel model of autoassociative memory and its self-organizationKiyotoshi Matsuoka. tsmc, 21(3):678-683, 1991. [doi]

An approach to the generalization problem in the backpropagation methodKiyotoshi Matsuoka. scjapan, 22(2):97-106, 1991. [doi]

Learning of neural networks using their adjoint systemsKiyotoshi Matsuoka. scjapan, 22(11):31-41, 1991. [doi]

Back-propagation learning of neural networks for translation invariant pattern recognitionJianqiang Yi, Shuichi Kurogi, Kiyotoshi Matsuoka. scjapan, 22(14):80-89, 1991. [doi]

Sign in or sign up to see more results.

runs on WebDSL