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Volumn 3971 LNCS, Issue , 2006, Pages 1326-1333

Improved locally linear embedding through new distance computing

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SCIENCE; EMBEDDED SYSTEMS; LINEAR SYSTEMS; NEURAL NETWORKS; PARAMETER ESTIMATION;

EID: 33745906989     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11759966_197     Document Type: Conference Paper
Times cited : (9)

References (8)
  • 2
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Scholkopf, B., Smola, A.J., Muller, K.R.: Nonlinear Component Analysis as a Kernel Eigenvalue Problem. Neural Computation 10(5) (1998) 1299-1319
    • (1998) Neural Computation , vol.10 , Issue.5 , pp. 1299-1319
    • Scholkopf, B.1    Smola, A.J.2    Muller, K.R.3
  • 6
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Tenenbaum, J.B., Silva, V.D., Langford, J.C.: A Global Geometric Framework for Nonlinear Dimensionality Reduction. Science 290(5500) (2000) 2319-2323
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.B.1    Silva, V.D.2    Langford, J.C.3
  • 7
    • 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(5500) (2000) 2323-2326
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.