IEICE Trans

Shun-ichi AMARI

Approximate Maximum Likelihood Source Separation Using the Natural Gradient Seungjin CHOI Andrzej CICHOCKI Liqing ZHANG Shun-ichi AMARI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2003/01/01 Vol. E86-A No. 1 pp. 198-205 Type of Manuscript: PAPER Category: Digital Signal Processing Keyword: independent component analysis, maximum likelihood estimation, natural gradient, source separation, overdetermined mixtures,
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Independent Component Analysis (ICA) and Method of Estimating Functions Shun-ichi AMARI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2002/03/01 Vol. E85-A No. 3 pp. 540-547 Type of Manuscript: INVITED PAPER (Special Section on the Trend of Digital Signal Processing and Its Future Direction) Category: Theories Keyword: independent components, information geometry, estimating functions, learning, signal processing,
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Differential and Algebraic Geometry of Multilayer Perceptrons Shun-ichi AMARI Tomoko OZEKI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2001/01/01 Vol. E84-A No. 1 pp. 31-38 Type of Manuscript: INVITED PAPER (Special Section on the 10th Anniversary of the IEICE Transactions of Fundamentals: "Last Decade and 21st Century") Category: Keyword: information geometry, multilayer perceptron, singularities, learning, natural gradient,
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Single-Trial Magnetoencephalographic Data Decomposition and Localization Based on Independent Component Analysis Approach Jianting CAO Noboru MURATA Shun-ichi AMARI Andrzej CICHOCKI Tsunehiro TAKEDA Hiroshi ENDO Nobuyoshi HARADA
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 2000/09/25 Vol. E83-A No. 9 pp. 1757-1766 Type of Manuscript: PAPER Category: Nonlinear Problems Keyword: magnetoencephalography, phantom experiments, single-trial data analysis, independent component analysis, individual source decomposition and localization,
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A Cascade Neural Network for Blind Signal Extraction without Spurious Equilibria Ruck THAWONMAS Andrzej CICHOCKI Shun-ichi AMARI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1998/09/25 Vol. E81-A No. 9 pp. 1833-1846 Type of Manuscript: Special Section PAPER (Special Section on Nonlinear Theory and Its Applications) Category: Neural Networks Keyword: blind source separation and extraction, neural networks, on-line adaptive algorithms,
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Neural Network Models for Blind Separation of Time Delayed and Convolved Signals Andrzej CICHOCKI Shun-ichi AMARI Jianting CAO
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1997/09/25 Vol. E80-A No. 9 pp. 1595-1603 Type of Manuscript: Special Section PAPER (Special Section on Nonlinear Theory and its Applications) Category: Keyword: blind sources separation and deconvolution, neural networks, on-line adaptive algorithms,
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FOREWORD Shun-ichi AMARI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1996/10/25 Vol. E79-A No. 10 pp. 1521-1521 Type of Manuscript: FOREWORD Category: Keyword:
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FOREWORD Shun-ichi AMARI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1993/05/25 Vol. E76-A No. 5 pp. 677-677 Type of Manuscript: FOREWORD Category: Keyword:
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FOREWORD Tosio KOGA Shun-ichi AMARI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1992/05/25 Vol. E75-A No. 5 pp. 529-530 Type of Manuscript: FOREWORD Category: Keyword:
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Information Geometry of Neural Networks Shun-ichi AMARI
Publication: IEICE TRANSACTIONS on Fundamentals of Electronics, Communications and Computer Sciences Publication Date: 1992/05/25 Vol. E75-A No. 5 pp. 531-536 Type of Manuscript: INVITED PAPER (Special Section on Nonlinear Dynamics--Adaptive, Learning and Neural Systems--) Category: Keyword: neural networks, information geometry, non-linear system, probability distribution,
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