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Kiyotoshi Matsuoka
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2010 – 2019
- 2012
- [j17]Takashi Itahashi
, Kiyotoshi Matsuoka:
Stability of independent vector analysis. Signal Process. 92(8): 1809-1820 (2012) - [c12]Anh Huy Phan
, Andrzej Cichocki
, Petr Tichavský, Danilo P. Mandic, Kiyotoshi Matsuoka:
On Revealing Replicating Structures in Multiway Data: A Novel Tensor Decomposition Approach. LVA/ICA 2012: 297-305 - [c11]Akinari Onishi
, Anh Huy Phan
, Kiyotoshi Matsuoka, Andrzej Cichocki
:
Tensor classification for P300-based brain computer interface. ICASSP 2012: 581-584 - 2011
- [j16]Kiyotoshi Matsuoka:
Analysis of a neural oscillator. Biol. Cybern. 104(4-5): 297-304 (2011) - [c10]Yasuomi D. Sato, Kazuki Nakada, Kiyotoshi Matsuoka:
Singular Perturbation Approach with Matsuoka Oscillator and Synchronization Phenomena. ICANN (2) 2011: 269-276 - [c9]Anh Huy Phan
, Andrzej Cichocki
, Kiyotoshi Matsuoka, Jianting Cao:
Novel hierarchical ALS algorithm for nonnegative tensor factorization. ICASSP 2011: 1984-1987
2000 – 2009
- 2009
- [c8]Kiyotoshi Matsuoka, Takashi Itahashi
:
A Time-domain Blind Source Separation by the Newton Method. ISCAS 2009: 2790-2793 - 2008
- [j15]Kiyotoshi Matsuoka:
Elimination of filtering indeterminacy in blind source separation. Neurocomputing 71(10-12): 2113-2126 (2008) - 2007
- [j14]Masashi Ohata, Kiyotoshi Matsuoka, Toshiharu Mukai:
An adaptive blind separation method using para-Hermitian whitening filter for convolutively mixed signals. Signal Process. 87(1): 33-50 (2007) - [c7]Masashi Ohata, Kiyotoshi Matsuoka:
Frequency-Domain Implementation of a Time-Domain Blind Separation Algorithm for Convolutive Mixtures of Sources. ICA 2007: 528-535 - 2005
- [c6]Kiyotoshi Matsuoka, Norifumi Ohyama, Atsushi Watanabe, Masataka Ooshima:
Control of a Giant Swing Robot Using a Neural Oscillator. ICNC (2) 2005: 274-282 - [c5]Masashi Ohata, Toshiharu Mukai, Kiyotoshi Matsuoka:
Blind separation of convolutive mixtures of speech signals using linear combination model. ISSPA 2005: 33-36 - 2004
- [c4]Masashi Ohata, Toshiharu Mukai, Kiyotoshi Matsuoka:
Blind separation with Gaussian mixture model for convolutively mixed sources. ISCAS (5) 2004: 13-16 - 2002
- [j13]Masashi Ohata, Kiyotoshi Matsuoka:
Stability analyses of information-theoretic blind separation algorithms in the case where the sources are nonlinear processes. IEEE Trans. Signal Process. 50(1): 69-77 (2002) - [c3]Kiyotoshi Matsuoka:
Principles for eliminating two kinds of indeterminacy in blind source separation. DSP 2002: 147-150
1990 – 1999
- 1999
- [j12]Kiyotoshi Matsuoka:
A general theory of a class of linear neural nets for principal and minor component analysis. Artif. Life Robotics 3(4): 246-254 (1999) - [c2]Mitsuru Kawamoto, Kiyotoshi Matsuoka, Noboru Ohnishi:
Real world blind separation of convolved speech signals. IJCNN 1999: 993-997 - 1998
- [j11]Mitsuru Kawamoto, Kiyotoshi Matsuoka, Noboru Ohnishi:
A method of blind separation for convolved non-stationary signals. Neurocomputing 22(1-3): 157-171 (1998) - [c1]Mitsuru Kawamoto, Allan Kardec Barros, Ali Mansour, Kiyotoshi Matsuoka, Noboru Ohnishi:
Blind Separation for Convolutive Mixtures of Non-stationary Signals. ICONIP 1998: 743-746 - 1996
- [j10]Kiyotoshi Matsuoka, Mitsuru Kawamoto:
The learning of linear neural nets with anti-hebbian rules. Syst. Comput. Jpn. 27(3): 84-93 (1996) - 1995
- [j9]Kiyotoshi Matsuoka, Masahiro Ohoya, Mitsuru Kawamoto:
A neural net for blind separation of nonstationary signals. Neural Networks 8(3): 411-419 (1995) - 1994
- [j8]Kiyotoshi Matsuoka, Mitsuru Kawamoto:
A neural network that self-organizes to perform three operations related to principal component analysis. Neural Networks 7(5): 753-765 (1994) - 1992
- [j7]Kiyotoshi Matsuoka:
Stability conditions for nonlinear continuous neural networks with asymmetric connection weights. Neural Networks 5(3): 495-500 (1992) - [j6]Kiyotoshi Matsuoka:
Absolute stability of neural networks. Syst. Comput. Jpn. 23(3): 102-109 (1992) - [j5]Kiyotoshi Matsuoka:
Noise injection into inputs in back-propagation learning. IEEE Trans. Syst. Man Cybern. 22(3): 436-440 (1992) - 1991
- [j4]Kiyotoshi Matsuoka:
An approach to the generalization problem in the backpropagation method. Syst. Comput. Jpn. 22(2): 97-106 (1991) - [j3]Kiyotoshi Matsuoka:
Learning of neural networks using their adjoint systems. Syst. Comput. Jpn. 22(11): 31-41 (1991) - [j2]Jianqiang Yi, Shuichi Kurogi, Kiyotoshi Matsuoka:
Back-propagation learning of neural networks for translation invariant pattern recognition. Syst. Comput. Jpn. 22(14): 80-89 (1991) - [j1]Kiyotoshi Matsuoka:
A novel model of autoassociative memory and its self-organization. IEEE Trans. Syst. Man Cybern. 21(3): 678-683 (1991)
Coauthor Index
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