Flexible component analysis for sparse, smooth, nonnegative coding or representation

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

Volumn 4984 LNCS, Issue PART 1, 2008, Pages 811-820

  Cichocki, Andrzej ^a,b   Phan, Anh Huy ^a   Zdunek, Rafal ^a,c   Zhang, Li Qing ^a,d  

^a RIKEN BRAIN SCIENCE INSTITUTE   (Japan)

^b WARSAW UNIVERSITY OF TECHNOLOGY   (Poland)

^c WROCLAW UNIVERSITY OF TECHNOLOGY   (Poland)

^d SHANGHAI JIAO TONG UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

APARTMENT HOUSES; COST FUNCTIONS; SENSOR NETWORKS; SEPARATION; STATISTICAL METHODS;

FLEXIBLE; FLEXIBLE COMPONENTS; HIERARCHICAL APPROACHES; HIGH-PERFORMANCE; LOCAL ALGORITHMS; MULTIDIMENSIONAL DATA ANALYSIS; NEW APPROACHES; POTENTIAL APPLICATIONS; PROJECTED GRADIENTS; REGULARIZATION TERMS; SENSORY; SPARSE CODING; TENSOR FACTORIZATIONS;

BLIND SOURCE SEPARATION;

EID: 54249132657     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-69158-7_84     Document Type: Conference Paper

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