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Volumn 42, Issue 11, 2009, Pages 2353-2362

Theoretical analysis on feature extraction capability of class-augmented PCA

Author keywords

CA PCA (class augmented principal component analysis); Class information; Classification; Feature extraction; PCA (principal component analysis)

Indexed keywords

CA-PCA (CLASS-AUGMENTED PRINCIPAL COMPONENT ANALYSIS); CLASS INFORMATION; CLASSIFICATION; DATA SETS; EFFECT OF PARAMETERS; ENCODED INFORMATION; EXTRACTING FEATURES; EXTRACTION CAPABILITY; FEATURE EXTRACTION METHODS; PCA (PRINCIPAL COMPONENT ANALYSIS); REAL PROBLEMS;

EID: 67649587128     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2009.04.011     Document Type: Article
Times cited : (36)

References (13)
  • 3
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    • Fisher R.A. The use of multiple measures in taxonomic problems. Annual Eugenics 7 (1936) 179-188
    • (1936) Annual Eugenics , vol.7 , pp. 179-188
    • Fisher, R.A.1
  • 11
    • 19344375792 scopus 로고    scopus 로고
    • Highspeed face recognition based on discrete cosine transform and RBF neural networks
    • Meng J.E., Chen W., and Shiqian W. Highspeed face recognition based on discrete cosine transform and RBF neural networks. IEEE Transactions on Neural Networks 16 3 (2005) 679-691
    • (2005) IEEE Transactions on Neural Networks , vol.16 , Issue.3 , pp. 679-691
    • Meng, J.E.1    Chen, W.2    Shiqian, W.3
  • 13
    • 67649621430 scopus 로고    scopus 로고
    • A.M. Martinez, R. Benavente, The AR face database, CVC Technical Report #24, June 1998.
    • A.M. Martinez, R. Benavente, The AR face database, CVC Technical Report #24, June 1998.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.