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Volumn , Issue , 2006, Pages 1178-1182

Adaptive kernel principal component analysis with unsupervised learning of kernels

Author keywords

[No Author keywords available]

Indexed keywords

CLASS LABELS; KERNEL SELECTION METHOD; OBJECT RECOGNITION DATABASE;

EID: 67651076717     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2006.14     Document Type: Conference Paper
Times cited : (18)

References (14)
  • 1
    • 0003408496 scopus 로고    scopus 로고
    • Department of Information and Computer Science, University of California, Irvine, CA
    • C. Blake, E. Keogh, and C. J. Merz. UCI repository of machine learning databases, [http://www.ics.uci.edu/~mlearn/MLRepository.html], Department of Information and Computer Science, University of California, Irvine, CA, 1998.
    • (1998) UCI repository of machine learning databases
    • Blake, C.1    Keogh, E.2    Merz, C.J.3
  • 2
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for support vector machines
    • O. Chapelle, V. Vapnik, O. Bousquet, and S. Mukherjee. Choosing multiple parameters for support vector machines. Machine Learning, 46(1):131-159, 2002.
    • (2002) Machine Learning , vol.46 , Issue.1 , pp. 131-159
    • Chapelle, O.1    Vapnik, V.2    Bousquet, O.3    Mukherjee, S.4
  • 3
    • 84898936871 scopus 로고    scopus 로고
    • N. Cristianini, J. Shawe-Taylor, A. Elisseeff, and J. Kandola. On kernel-target alignment. In T. G. Dietterich, S. Becker, and Z. Ghahramani, editors, Advances in Neural Information Processing Systems 14, pages 367-373. MIT Press, Cambridge, MA, 2002.
    • N. Cristianini, J. Shawe-Taylor, A. Elisseeff, and J. Kandola. On kernel-target alignment. In T. G. Dietterich, S. Becker, and Z. Ghahramani, editors, Advances in Neural Information Processing Systems 14, pages 367-373. MIT Press, Cambridge, MA, 2002.
  • 8
    • 0003840341 scopus 로고    scopus 로고
    • Columbia object image library (COIL-20) [http://www1.cs.columbia.edu/cave/research/softlib/coil-20.html]
    • Technical Report CUCS-005-96, Columbia University, New York, NY
    • S. A. Nene, S. K. Nayar, and H. Murase. Columbia object image library (COIL-20) [http://www1.cs.columbia.edu/cave/research/softlib/coil-20.html]. Technical Report CUCS-005-96, Columbia University, New York, NY, 1996.
    • (1996)
    • Nene, S.A.1    Nayar, S.K.2    Murase, H.3
  • 10
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigen-value problem
    • B. Schölkopf, A. J. Smola, and K.-R. Müller. Nonlinear component analysis as a kernel eigen-value problem. Neural Computation, 10(5):1299-1319, 1998.
    • (1998) Neural Computation , vol.10 , Issue.5 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.J.2    Müller, K.-R.3
  • 14
    • 27344455216 scopus 로고    scopus 로고
    • Learning the kernel parameters in kernel minimum distance classifier
    • D. Q. Zhang, S. C. Chen, and Z.-H. Zhou. Learning the kernel parameters in kernel minimum distance classifier. Pattern Recognition, 39(1):133-135, 2006.
    • (2006) Pattern Recognition , vol.39 , Issue.1 , pp. 133-135
    • Zhang, D.Q.1    Chen, S.C.2    Zhou, Z.-H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.