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Volumn , Issue , 2005, Pages

Efficient kernel discriminant analysis via QR decomposition

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; FEATURE EXTRACTION; IMAGE RETRIEVAL;

EID: 84899008974     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (30)

References (13)
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    • Baudat, G.1    Anouar, F.2
  • 2
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    • Eigenfaces vs,Fisherfaces: Recognition using class specific linear projection
    • P.N. Belhumeour, J.P. Hespanha, and D.J. Kriegman. Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. IEEE TPAMI, 19(7):711-720, 1997.
    • (1997) IEEE TPAMI , vol.19 , Issue.7 , pp. 711-720
    • Belhumeour, P.N.1    Hespanha, J.P.2    Kriegman, D.J.3
  • 4
    • 0004236492 scopus 로고    scopus 로고
    • The Johns Hopkins University Press, Baltimore, MD, USA, third edition
    • G. H. Golub and C. F. Van Loan. Matrix Computations. The Johns Hopkins University Press, Baltimore, MD, USA, third edition, 1996.
    • (1996) Matrix Computations
    • Golub, G.H.1    Van Loan, C.F.2
  • 5
    • 4344700051 scopus 로고    scopus 로고
    • Kernel-based optimized feature vectors selection and discriminant analysis for face recognition
    • Q. Liu, R. Huang, H. Lu, and S. Ma. Kernel-based optimized feature vectors selection and discriminant analysis for face recognition. In ICPR Proceedings, pages 362 - 365, 2002.
    • (2002) ICPR Proceedings , pp. 362-365
    • Liu, Q.1    Huang, R.2    Lu, H.3    Ma, S.4
  • 6
    • 84898965347 scopus 로고    scopus 로고
    • A mathematical programming approach to the kernel fisher algorithm
    • S. Mika, G. Ratsch, and K.-R. Muller. A mathematical programming approach to the kernel fisher algorithm. In NIPS Proceedings, pages 591 - 597, 2001.
    • (2001) NIPS Proceedings , pp. 591-597
    • Mika, S.1    Ratsch, G.2    Muller, K.-R.3
  • 8
    • 0005073887 scopus 로고    scopus 로고
    • An improved training algorithm for kernel fisher discriminants
    • S. Mika, A.J. Smola, and B. Scholkopf. An improved training algorithm for kernel fisher discriminants. In AISTATS Proceedings, pages 98-104, 2001.
    • (2001) AISTATS Proceedings , pp. 98-104
    • Mika, S.1    Smola, A.J.2    Scholkopf, B.3
  • 10
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Schokopf, A. Smola, and K. Muller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10(5):1299-1319, 1998.
    • (1998) Neural Computation , vol.10 , Issue.5 , pp. 1299-1319
    • Schokopf, B.1    Smola, A.2    Muller, K.3
  • 11
    • 1542346779 scopus 로고    scopus 로고
    • LDA/QR: An efficient and effective dimension reduction algorithm and its theoretical foundation
    • J. Ye and Q. Li. LDA/QR: An efficient and effective dimension reduction algorithm and its theoretical foundation. Pattern recognition, pages 851-854, 2004.
    • (2004) Pattern Recognition , pp. 851-854
    • Ye, J.1    Li, Q.2
  • 12
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    • IDR/QR: An incremental dimension reduction algorithm via QR decomposition
    • J. Ye, Q. Li, H. Xiong, H. Park, R. Janardan, and V. Kumar. IDR/QR: An incremental dimension reduction algorithm via QR decomposition. In ACM SIGKDD Proceedings, pages 364-373, 2004.
    • (2004) ACM SIGKDD Proceedings , pp. 364-373
    • Ye, J.1    Li, Q.2    Xiong, H.3    Park, H.4    Janardan, R.5    Kumar, V.6
  • 13
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    • A modified algorithm for generalized discriminant analysis
    • W. Zheng, L. Zhao, and C. Zou. A modified algorithm for generalized discriminant analysis. Neural Computation, 16(6):1283-1297, 2004.
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    • Zheng, W.1    Zhao, L.2    Zou, C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.