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Volumn 2006, Issue , 2006, Pages 467-472

Face classification based on Shannon wavelet kernel and modified fisher criterion

Author keywords

Face classification; Fisher discriminant analysis; Kernel method; Small sample size problem; Wavelet

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTATIONAL COMPLEXITY; DATABASE SYSTEMS; FEATURE EXTRACTION; PROBLEM SOLVING; WAVELET TRANSFORMS;

EID: 33750836138     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FGR.2006.41     Document Type: Conference Paper
Times cited : (15)

References (11)
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    • Yu, H.1    Yang, J.2
  • 3
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    • B. Schölkopf, A. Smola and K. Müller, "Nonlinear component analysis as a kernel eigenvalue problem", Neural Computation, Vol.10, No.5, pp.1299-1319, 1998.
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    • Schölkopf, B.1    Smola, A.2    Müller, K.3
  • 5
    • 0034296402 scopus 로고    scopus 로고
    • Generalized discriminant analysis using a kernel approach
    • G. Baudat and F. Anouar, "Generalized discriminant analysis using a kernel approach", Neural Computation, vol.12, no.10, pp.2385-2404, 2000.
    • (2000) Neural Computation , vol.12 , Issue.10 , pp. 2385-2404
    • Baudat, G.1    Anouar, F.2
  • 6
    • 0037276932 scopus 로고    scopus 로고
    • Face recognition using kernel direct discriminant analysis algorithms
    • J. Lu, K. N. Plataniotis and A N Ventsanopoulos, "Face recognition using kernel direct discriminant analysis algorithms", IEEE Trans. on Neural Network, Vol. 14, No. 1, pp. 117-126, 2003.
    • (2003) IEEE Trans. on Neural Network , vol.14 , Issue.1 , pp. 117-126
    • Lu, J.1    Plataniotis, K.N.2    Ventsanopoulos, A.N.3
  • 7
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    • A modified algorithm for generalized discriminant analysis
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  • 8
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    • Learning with kernels - Support vector machines, regularization, optimization and beyond
    • B. Schölkopf and A. J. Smola. "Learning with kernels - support vector machines, regularization, optimization and beyond", MIT Press, Cambridge, MA, 2002.
    • (2002) MIT Press, Cambridge, MA
    • Schölkopf, B.1    Smola, A.J.2
  • 11
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    • A theory for multiresolution signal decomposition: The wavelet representation
    • S. Mallat,"A theory for multiresolution signal decomposition: the wavelet representation," IEEE Pattern Anal. and Machine Intell, vol.11, no.7, 1989, pp.674-693.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.