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Volumn , Issue , 2008, Pages

Semi-supervised learning by locally linear embedding in kernel space

Author keywords

[No Author keywords available]

Indexed keywords

EMBEDDINGS; GRAPHIC METHODS; PATTERN RECOGNITION; SUPERVISED LEARNING;

EID: 77957937017     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icpr.2008.4761127     Document Type: Conference Paper
Times cited : (5)

References (12)
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    • 3142725535 scopus 로고    scopus 로고
    • Semi-supervised learning on Riemannian manifolds
    • M. Belkin, P. Niyogi. Semi-Supervised learning on Riemannian manifolds. Machine Learning, vol.56, pp. 209-239, 2004.
    • (2004) Machine Learning , vol.56 , pp. 209-239
    • Belkin, M.1    Niyogi, P.2
  • 8
    • 33845595331 scopus 로고    scopus 로고
    • Graph Laplacian kernels for object classification from a single example
    • H. Chang, D.-Y. Yeung. Graph Laplacian kernels for object classification from a single example. In Proc. IEEE Int'l Conf. CVPR, 2006.
    • (2006) Proc. IEEE Int'l Conf. CVPR
    • Chang, H.1    Yeung, D.-Y.2
  • 9
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • S.T. Roweis, L.K. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, vol.290, pp. 2323-2326, 2000.
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 12
    • 33745417721 scopus 로고    scopus 로고
    • Gaussian fields for semi-supervised regression and correspondence learning
    • J.-J. Verbeek, N. Vlassis. Gaussian fields for semi-supervised regression and correspondence learning. Pattern Recognition, vol.39, pp. 1864-1875, 2006.
    • (2006) Pattern Recognition , vol.39 , pp. 1864-1875
    • Verbeek, J.-J.1    Vlassis, N.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.