Linear manifolds analysis: Theory and algorithm

Neurocomputing

Volumn 57, Issue 1-4, 2004, Pages 171-187

  Imiya, Atushi ^a,b   Ootani, Hisashi ^b   Kwamoto, Kazuhiko ^c  

^a NATIONAL INSTITUTE OF INFORMATICS   (Japan)

^b CHIBA UNIVERSITY   (Japan)

^c TOKYO INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

Linear manifold; Linear subspace; Model selection; Principal component analysis; The Hough transform

Indexed keywords

ALGORITHMS; DATA REDUCTION; HOUGH TRANSFORMS; LINEAR SYSTEMS; MATHEMATICAL MODELS; PRINCIPAL COMPONENT ANALYSIS;

GENERALIZATION PERFORMANCE;

NEURAL NETWORKS;

ALGORITHM; ANALYTIC METHOD; ARTICLE; ARTIFICIAL NEURAL NETWORK; CONTROLLED STUDY; DATA ANALYSIS; LINEAR SYSTEM; MATHEMATICAL MODEL; MATHEMATICAL PARAMETERS; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; THEORY;

EID: 1542680950     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2003.09.010     Document Type: Article

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