Kernel Self-optimized Locality Preserving Discriminant Analysis for feature extraction and recognition

Neurocomputing

Volumn 74, Issue 17, 2011, Pages 3019-3027

  Li, Jun Bao ^a   Pan, Jeng Shyang ^b   Chen, Shyi Ming ^c,d  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

^b NATIONAL KAOHSIUNG UNIVERSITY OF APPLIED SCIENCES   (Taiwan)

^c NATIONAL TAIWAN UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

^d NATIONAL TAICHUNG UNIVERSITY OF EDUCATION   (Taiwan)

Author keywords

Feature extraction; Kernel method; Kernel Self optimized Locality Preserving Discriminant Analysis; Locality preserving projection

Indexed keywords

COMPARATIVE EXPERIMENTS; CONSTRAINT OPTIMIZATIONS; DIMENSIONALITY REDUCTION; EMPIRICAL FEATURE SPACE; FEATURE EXTRACTION AND RECOGNITION; FISHER CRITERION; KERNEL METHOD; LOCALITY PRESERVING PROJECTIONS; MAXIMUM MARGIN CRITERIONS; OPTIMAL PARAMETER; PROJECTION MATRIX; SELF-OPTIMIZATION; TWO STAGE;

DISCRIMINANT ANALYSIS; OPTIMIZATION;

FEATURE EXTRACTION;

ALGORITHM; ARTICLE; COMPUTER SIMULATION; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; KERNEL METHOD; KERNEL SELF OPTIMIZED LOCALITY PRESERVING DISCRIMINANT ANALYSIS; NONLINEAR SYSTEM; NONPARAMETRIC TEST; PERFORMANCE; PRIORITY JOURNAL; RECOGNITION; STATISTICAL ANALYSIS; SUPPORT VECTOR MACHINE;

EID: 80052918164     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.04.017     Document Type: Article

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