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Volumn 27, Issue 6, 2004, Pages 789-795

Nonlinear canonical correlation analysis for discrimination based on kernel methods

Author keywords

Adaptive learning algorithm; Canonical correlation analysis; Discrimination; Kernel Fisher Discriminant analysis (KFD); Kernel methods

Indexed keywords

ADAPTIVE ALGORITHMS; COMPUTATIONAL COMPLEXITY; LEARNING ALGORITHMS;

EID: 3142727014     PISSN: 02544164     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (5)

References (13)
  • 4
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Scholkopf B., Smola A., Muller K. R.. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 1998, 10: 1299-1319
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Scholkopf, B.1    Smola, A.2    Muller, K.R.3
  • 5
    • 0033337021 scopus 로고    scopus 로고
    • Fisher discriminant analysis with kernels
    • New York: IEEE Press
    • Mika S., Ratsch G. et al. Fisher discriminant analysis with kernels. In Neural Networks for Signal Processing IX, New York: IEEE Press, 1999, 41-48.
    • (1999) Neural Networks for Signal Processing IX , pp. 41-48
    • Mika, S.1    Ratsch, G.2
  • 9
    • 84898965347 scopus 로고    scopus 로고
    • A mathematical programming approach to the Kernel Fisher algorithm
    • Leen T.K., Dietterich T.G. and Tresp V. (ed.), Cambridge, MA: MIT Press
    • Mika S., Ratsch G., Muller K. R.. A mathematical programming approach to the Kernel Fisher algorithm. In: Leen T. K., Dietterich T. G., Tresp V. eds, Advances in Neural Information Processing Systems 13, Cambridge, MA: MIT Press, 2001, 591-597
    • (2001) Advances in Neural Information Processing Systems 13 , pp. 591-597
    • Mika, S.1    Ratsch, G.2    Muller, K.R.3
  • 11
    • 3142783053 scopus 로고
    • Beijing: Beijing University of Technology Press, Chinese source
    • Liu Qin-Sheng. Least Square Computational Methods. Beijing: Beijing University of Technology Press, 1989 (in Chinese)
    • (1989) Least Square Computational Methods
    • Liu, Q.-S.1
  • 12
    • 0034863533 scopus 로고    scopus 로고
    • Kernel MSE algorithm: A unified framework for KFD, LS-SVM and KRR
    • Washington DC
    • Xu Jian-Hua, Zhang Xue-Gong, Li Yan-Da. Kernel MSE algorithm: A unified framework for KFD, LS-SVM and KRR. In: Proceedings of the IJCNN'0l, Washington DC, 2001, 1486-1491
    • (2001) Proceedings of the IJCNN'01 , pp. 1486-1491
    • Xu, J.-H.1    Zhang, X.-G.2    Li, Y.-D.3
  • 13
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • Cambridge, MA: MIT Press
    • Platt J.. Fast training of support vector machines using sequential minimal optimization. Advances in Kernel Methods - Support Vector Learning, Cambridge, MA: MIT Press, 1999, 185-208
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 185-208
    • Platt, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.