Incremental two-dimensional kernel principal component analysis

Neurocomputing

Volumn 134, Issue , 2014, Pages 280-288

  Choi, Yonghwa ^a   Ozawa, Seiichi ^b   Lee, Minho ^a  

^a Kyungpook National University   (South Korea)

^b KOBE UNIVERSITY   (Japan)

Author keywords

Incremental learning; Kernel method; Principal component analysis (PCA); Two dimensional PCA

Indexed keywords

FACE RECOGNITION; FEATURE EXTRACTION; INPUT OUTPUT PROGRAMS; TWO DIMENSIONAL;

COMPUTATIONAL TIME AND MEMORY; FEATURE EXTRACTION METHODS; INCREMENTAL LEARNING; KERNEL METHODS; KERNEL PRINCIPAL COMPONENT ANALYSES (KPCA); LINEAR FEATURE EXTRACTION; TWO-DIMENSIONAL PCA; TWO-DIMENSIONAL PCA (2DPCA);

PRINCIPAL COMPONENT ANALYSIS;

ALGORITHM; ARTICLE; CONTROLLED STUDY; FEMALE; HUMAN; IMAGE PROCESSING; INCREMENTAL KERNEL PRINCIPAL COMPONENT ANALYSIS; INCREMENTAL TWO DIMENSIONAL KERNEL PRINCIPAL COMPONENT ANALYSIS; INCREMENTAL TWO DIMENSIONAL PRINCIPAL COMPONENT ANALYSIS; KERNEL PRINCIPAL COMPONENT ANALYSIS; MALE; MATHEMATICAL PARAMETERS; MEMORY; PATTERN RECOGNITION; PRINCIPAL COMPONENT ANALYSIS; PRIORITY JOURNAL; TWO DIMENSIONAL KERNEL PRINCIPAL COMPONENT ANALYSIS; TWO DIMENSIONAL PRINCIPAL COMPONENT ANALYSIS;

EID: 84896548021     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2013.08.045     Document Type: Article

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