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Volumn 227, Issue , 2007, Pages 513-520

A transductive framework of distance metric learning by spectral dimensionality reduction

Author keywords

[No Author keywords available]

Indexed keywords

DATABASE SYSTEMS; EIGENVALUES AND EIGENFUNCTIONS; FUNCTION EVALUATION; NONLINEAR SYSTEMS; PROBLEM SOLVING;

EID: 34547980697     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1273496.1273561     Document Type: Conference Paper
Times cited : (13)

References (24)
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    • Bach, F. R., & Jordan, M. I. (2006). Learning spectral clustering, with application to speech separation. Journal of Machine Learning Research, 7, 1963-2001.
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    • Bach, F.R.1    Jordan, M.I.2
  • 2
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • Belkin, M., & Niyogi, P. (2003). Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation, 15, 1373-1396.
    • (2003) Neural Computation , vol.15 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 6
    • 33747044600 scopus 로고
    • Metric and euclidean properties of dissimilarities coefficients
    • Gower, J. C., & Legendre, P. (1986). Metric and euclidean properties of dissimilarities coefficients. Journal of Classification, 3, 5-48.
    • (1986) Journal of Classification , vol.3 , pp. 5-48
    • Gower, J.C.1    Legendre, P.2
  • 13
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • LeCun, Y., Bottou, L., Bengio, Y., & Haffner, P. (1998). Gradient-based learning applied to document recognition. Proceedings of the IEEE, 86, 2278-2324.
    • (1998) Proceedings of the IEEE , vol.86 , pp. 2278-2324
    • LeCun, Y.1    Bottou, L.2    Bengio, Y.3    Haffner, P.4
  • 14
    • 14544299611 scopus 로고    scopus 로고
    • On learning vector-valued functions
    • Micchelli, C. A., & Pontii, M. (2005). On learning vector-valued functions. Neural Computation, 17, 177-204.
    • (2005) Neural Computation , vol.17 , pp. 177-204
    • Micchelli, C.A.1    Pontii, M.2
  • 16
    • 0005031076 scopus 로고    scopus 로고
    • Transformation invariance in pattern recognition - tangent distance and tangent propagation
    • G. B. Orr and K.-R. Muller Eds
    • Simard, P. Y., LeCun, Y. A., Denker, J. S., &Victorri, B. (1998). Transformation invariance in pattern recognition - tangent distance and tangent propagation. In G. B. Orr and K.-R. Muller (Eds.), Neural networks: Tricks of the trade.
    • (1998) Neural networks: Tricks of the trade
    • Simard, P.Y.1    LeCun, Y.A.2    Denker, J.S.3    Victorri, B.4
  • 18
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Tenenbaum, J., Silva, V. D., & Langford, J. (2000). A global geometric framework for nonlinear dimensionality reduction. Science, 290, 2319-2323.
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.1    Silva, V.D.2    Langford, J.3
  • 22
    • 1942420345 scopus 로고    scopus 로고
    • Learning metrics via discriminant kernels and multidimensional scaling: Toward expected euclidean representation
    • Zhang, Z. (2003). Learning metrics via discriminant kernels and multidimensional scaling: Toward expected euclidean representation. Proceedings of the 20th international conference on machine learning.
    • (2003) Proceedings of the 20th international conference on machine learning
    • Zhang, Z.1
  • 23
    • 33646417903 scopus 로고    scopus 로고
    • Modelbased transductive learning of the kernel matrix
    • Zhang, Z., Kwok, J. T., & Yeung, D.-Y. (2006). Modelbased transductive learning of the kernel matrix. Machine. Learning, 63, 69-101.
    • (2006) Machine. Learning , vol.63 , pp. 69-101
    • Zhang, Z.1    Kwok, J.T.2    Yeung, D.-Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.