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Volumn 227, Issue , 2007, Pages 1135-1142

Optimal dimensionality of metric space for classification

Author keywords

[No Author keywords available]

Indexed keywords

COVARIANCE MATRIX; FINITE DIFFERENCE METHOD; PARAMETER ESTIMATION; SAMPLING; STATE SPACE METHODS;

EID: 34547982893     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1273496.1273639     Document Type: Conference Paper
Times cited : (32)

References (19)
  • 3
    • 0043278893 scopus 로고    scopus 로고
    • Laplacian eigenmaps and spectral techniques for embedding and cluster ing
    • Cambridge, MA
    • Belkin, M., & Niyogi, P. (2001). Laplacian eigenmaps and spectral techniques for embedding and cluster ing. Advances in Neural Information Processing Systems. Cambridge, MA.
    • (2001) Advances in Neural Information Processing Systems
    • Belkin, M.1    Niyogi, P.2
  • 13
    • 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
  • 15
    • 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
  • 16
    • 0003916920 scopus 로고
    • Beijing, China: Defense Industry Press, in Chinese
    • Wang, G., & Shi, R. (1988). Theory of matrix. Beijing, China: Defense Industry Press, 376-378 (in Chinese).
    • (1988) Theory of matrix , pp. 376-378
    • Wang, G.1    Shi, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.