Csiszár's Divergences for Non-negative Matrix Factorization: Family of New Algorithms

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3889 LNCS, Issue , 2006, Pages 32-39

  Cichocki, Andrzej ^a,c   Zdunek, Rafal ^a,d   Amari, Shun Ichi ^b  

^a Laboratory for Advanced Brain Signal Processing   (Japan)

^b RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^c WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

^d WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BLIND SOURCE SEPARATION; CONSTRAINT THEORY; CONVERGENCE OF NUMERICAL METHODS; ROBUSTNESS (CONTROL SYSTEMS); SPURIOUS SIGNAL NOISE;

NMF ALGORITHMS; NON-NEGATIVE MATRIX FACTORIZATION (NMF); SPARSITY; SQUARED EUCLIDEAN DISTANCE;

MATRIX ALGEBRA;

EID: 33745683306     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11679363_5     Document Type: Conference Paper

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