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Journal Article
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, ISSN 1364-503X, 02/2013, Volume 371, Issue 1984, pp. 20110534 - 20110534
Independent component analysis is a probabilistic method for learning a linear transform of a random vector. The goal is to find components that are maximally... 
Blind source separation | Causal analysis | Non-Gaussianity | Independent component analysis | causal analysis | MAXIMUM-LIKELIHOOD | MULTIDISCIPLINARY SCIENCES | DECOMPOSITION | STATISTICAL-MODELS | ALGORITHMS | EMERGENCE | UNIQUENESS | independent component analysis | SUBJECT | MATRIX FACTORIZATION | blind source separation | non-Gaussianity | IDENTIFIABILITY | 1008 | 1006 | 146 | 1003 | Review | 62 | 175
Journal Article
2000, Perspectives in neural computing, ISBN 9781852332631, xvii, 279
Book
2001, A Wiley-Interscience publication, ISBN 9780471405405, 505
AAPO HYVÄRINEN, PhD, is Senior Fellow of the Academy of Finland and works at the Neural Networks Research Center of Helsinki University of Technology in... 
Multivariate analysis | Principal components analysis | Waves & Wave Mechanics | Science
eBook
Signal Processing, ISSN 0165-1684, 02/2019, Volume 155, pp. 368 - 376
Linear independent component analysis (ICA) is a fundamental problem in signal processing. In this work we study the Spectral ICA approach introduced by Singer... 
Spectral graph theory | Independent component analysis | Diffusion frameworks | SOURCE SEPARATION | COMPLEX ICA | INFORMATION | ALGORITHMS | BLIND SEPARATION | ENGINEERING, ELECTRICAL & ELECTRONIC | Signal processing | Analysis
Journal Article
IEEE Transactions on Nanotechnology, ISSN 1536-125X, 2019, Volume 18, pp. 611 - 615
Journal Article
Journal of Process Control, ISSN 0959-1524, 2004, Volume 14, Issue 5, pp. 467 - 485
Journal Article