Independent Component Analysis Features
Independent Component Analysis Features is a feature extraction technique that isolates statistically independent underlying sources from multivariate data by maximizing non-Gaussianity and mutual independence among the derived components.
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57.4K
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Authors
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Institutions
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2017–2026
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Independent component analysis, A new concept?
Pierre Comon · Signal Processing · 1994 · 8.2K citations · Full text
SURVEY OF INDEPENDENT COMPONENT ANALYSIS
Aapo Hyvärinen · 1999 · 1.1K citations
Dictionary Learning Algorithms for Sparse Representation
Kenneth Kreutz-Delgado, Joseph F. Murray, Bhaskar D. Rao et al. · Neural Computation · 2003 · 842 citations
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Institute of Automation, China
5 publications · 611 citations
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University of California San Diego
San Diego, United States
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32 publications
54.6K citations
University of New Mexico
Albuquerque, United States
11 h-index
19 publications
659 citations

Chinese Academy of Sciences
Beijing, China
9 h-index
34 publications
2.2K citations
Mind Research Network
Albuquerque, United States
9 h-index
41 publications
1.6K citations

University of Helsinki
Helsinki, Finland
9 h-index
20 publications
2.4K citations

Centre National de la Recherche Scientifique
Paris, France
7 h-index
25 publications
3.1K citations
Korea Advanced Institute of Science and Technology
Daejeon, South Korea
7 h-index
17 publications
618 citations
Tsinghua University
Beijing, China
6 h-index
12 publications
436 citations
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