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Volumn , Issue , 2005, Pages 120-127

Semisupervised alignment of manifolds

Author keywords

[No Author keywords available]

Indexed keywords

CURSE OF DIMENSIONALITY; DATA SETS; IMAGE MANIFOLDS; LOW DIMENSIONAL STRUCTURE; MANIFOLD LEARNING; MANIFOLD STRUCTURES; PARAMETERIZED; PARTIAL ALIGNMENT; PRIOR KNOWLEDGE; SEMI-SUPERVISED; VIEWING ANGLE;

EID: 84862595041     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (248)

References (18)
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  • 7
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    • Hessian eigen-maps: Locally linear embedding techniques for high-dimensional data
    • D. L. Donoho and C. Grimes. Hessian eigen-maps: locally linear embedding techniques for high-dimensional data. In Proceedings of National Academy of Science, 100 (10), pages 5591-5596, 2003.
    • (2003) Proceedings of National Academy of Science , vol.100 , Issue.10 , pp. 5591-5596
    • Donoho, D.L.1    Grimes, C.2
  • 8
    • 0000827674 scopus 로고
    • A property of eigenvectors of nonnegative symmetric matrices and its applications to graph theory
    • M. Fiedler. A property of eigenvectors of nonnegative symmetric matrices and its applications to graph theory. Czechoslovak Math Journal, 25 (100), pages 619-633, 1975.
    • (1975) Czechoslovak Math Journal , vol.25 , Issue.100 , pp. 619-633
    • Fiedler, M.1
  • 9
    • 84860635370 scopus 로고    scopus 로고
    • Graph embeddings, symmetric real matrices, and generalized inverses
    • Institute for Computer Applications in Science and Engineering, August
    • S. Guattery. Graph embeddings, symmetric real matrices, and generalized inverses. Technical Report NASA/CR-1998-208462 ICASE Report No. 98-34, Institute for Computer Applications in Science and Engineering, August 1998.
    • (1998) Technical Report NASA/CR-1998-208462 ICASE Report No. 98-34
    • Guattery, S.1
  • 13
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • S. T. Roweis and L. K. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290, pages 2323-2326, 2000.
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 14
    • 2342517502 scopus 로고    scopus 로고
    • Think globally, fit locally: Unsupervised learning of low dimensional manifolds
    • L. K. Saul and S. T. Roweis. Think globally, fit locally: unsupervised learning of low dimensional manifolds. Journal of Machine Learning Research, 4, pages 119-155, 2003.
    • (2003) Journal of Machine Learning Research , vol.4 , pp. 119-155
    • Saul, L.K.1    Roweis, S.T.2
  • 15
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • J. Tenenbaum, V. de Silva, and J. C. Langford. A global geometric framework for nonlinear dimensionality reduction. Science, 290, pages 2319-2323, 2000.
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.1    De Silva, V.2    Langford, J.C.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.