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Volumn 2, Issue , 2003, Pages 872-879

Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; APPROXIMATION THEORY; INFORMATION ANALYSIS; LEARNING SYSTEMS; MAPPING; METRIC SYSTEM; PATTERN RECOGNITION; VECTORS;

EID: 1942420345     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (30)

References (19)
  • 4
    • 0027271605 scopus 로고
    • Discriminant analysis using non-metric multidimensional scaling
    • Cox, T. F., & Ferry, G. (1993). Discriminant analysis using non-metric multidimensional scaling. Pattern Recognition, 26, 145-153.
    • (1993) Pattern Recognition , vol.26 , pp. 145-153
    • Cox, T.F.1    Ferry, G.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
  • 7
    • 0004019973 scopus 로고    scopus 로고
    • (Technical Report UCSC-CRL-99-10). Department of Computer Science, University of California at Santa Cruz
    • Haussler, D. (1999). Convolution kernels on discrete structures (Technical Report UCSC-CRL-99-10). Department of Computer Science, University of California at Santa Cruz.
    • (1999) Convolution Kernels on Discrete Structures
    • Haussler, D.1
  • 10
    • 0015279693 scopus 로고
    • A nonlinear feature extraction algorithm using distance information
    • Koontz, W. L. G., & Fukunaga, K. (1972). A nonlinear feature extraction algorithm using distance information. IEEE Transactions on Computers, 21, 56-63.
    • (1972) IEEE Transactions on Computers , vol.21 , pp. 56-63
    • Koontz, W.L.G.1    Fukunaga, K.2
  • 12
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Roweis, S. T., & Saul, L. K. (2000). Nonlinear dimensionality reduction by locally linear embedding. Science, 290, 2323-2326.
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 14
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Tenenbaum, J. B., de Silva, V., & Langford, J. C. (2000). A global geometric framework for nonlinear dimensionality reduction. Science, 290, 2319-2323.
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3
  • 17
    • 0029305517 scopus 로고
    • Multidimensional scaling by iterative majorization using radial basis functions
    • Webb, A. R. (1995). Multidimensional scaling by iterative majorization using radial basis functions. Pattern Recognition, 28, 753-759.
    • (1995) Pattern Recognition , vol.28 , pp. 753-759
    • Webb, A.R.1
  • 19
    • 84887006209 scopus 로고    scopus 로고
    • (Technical Report HKUST-CS03-02). Department of Computer Science, Hong Kong University of Science and Technology
    • Zhang, Z., Kwok, J. T., & Yeung, D. Y. (2003). Parametric distance metric with label information (Technical Report HKUST-CS03-02). Department of Computer Science, Hong Kong University of Science and Technology.
    • (2003) Parametric Distance Metric with Label Information
    • Zhang, Z.1    Kwok, J.T.2    Yeung, D.Y.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.