Feature extraction in support vector machine: A comparison of PCA, XPCA and ICA

ICONIP 2002 - Proceedings of the 9th International Conference on Neural Information Processing: Computational Intelligence for the E-Age

Volumn 2, Issue , 2002, Pages 1001-1005

  Cao, L J ^a   Chong, W K ^a  

^a INSTITUTE OF HIGH PERFORMANCE COMPUTING   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; EXTRACTION; FEATURE EXTRACTION; INDEPENDENT COMPONENT ANALYSIS; INFORMATION SCIENCE; MATHEMATICAL TRANSFORMATIONS; SUPPORT VECTOR MACHINES;

FUTURES CONTRACT; GENERALIZATION PERFORMANCE; INDEPENDENT COMPONENT ANALYSIS(ICA); KERNEL METHODS; KERNEL PRINCIPAL COMPONENT ANALYSES (KPCA); PCA FEATURE EXTRACTIONS; TIME SERIES FORECASTING; UNCORRELATED FEATURES;

PRINCIPAL COMPONENT ANALYSIS;

EID: 84964444685     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICONIP.2002.1198211     Document Type: Conference Paper

References (8)

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