메뉴 건너뛰기




Volumn 37, Issue 1, 2004, Pages 161-163

Distance metric learning by knowledge embedding

Author keywords

Clustering; Distance metric learning; Knowledge embedding

Indexed keywords

PROBLEM SOLVING;

EID: 0242489578     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0031-3203(03)00218-8     Document Type: Article
Times cited : (11)

References (5)
  • 2
    • 0015011520 scopus 로고
    • An algorithm for finding intrinsic dimensionality of data
    • Fukunaga K. Olsen D.R. An algorithm for finding intrinsic dimensionality of data IEEE Trans. Comput. 20 1971 176-183
    • (1971) IEEE Trans. Comput. , vol.20 , pp. 176-183
    • Fukunaga, K.1    Olsen, D.R.2
  • 4
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Tenenbaum J.B. de Silva V. Langford J.C. A global geometric framework for nonlinear dimensionality reduction Science 290 2000 2319-2323
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.B.1    de Silva, V.2    Langford, J.C.3
  • 5
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Roweis S.T. Saul L.K. Nonlinear dimensionality reduction by locally linear embedding Science 290 2000 2323-2326
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.