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Volumn , Issue , 2007, Pages 375-380

Manifold clustering via energy minimization

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; FLOW OF SOLIDS; LEARNING SYSTEMS; ROBOT LEARNING; TABU SEARCH;

EID: 47349111928     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2007.71     Document Type: Conference Paper
Times cited : (14)

References (15)
  • 1
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • M. Belkin and P. Niyogi. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Comput., 15(6): 1373-1396, 2003.
    • (2003) Neural Comput , vol.15 , Issue.6 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 4
    • 0037948870 scopus 로고    scopus 로고
    • Hessian eigenmaps: Locally linear embedding techniques for high dimensional data
    • D. Donoho and C. Grimes. Hessian eigenmaps: locally linear embedding techniques for high dimensional data. Proc. of National Academy of Sciences, 100(10):5591-5596, 2003.
    • (2003) Proc. of National Academy of Sciences , vol.100 , Issue.10 , pp. 5591-5596
    • Donoho, D.1    Grimes, C.2
  • 5
    • 0022865373 scopus 로고
    • Future paths for integer programming and links to artificial intelligence
    • F.Glover. Future paths for integer programming and links to artificial intelligence. Computers and Operations Research, 5:533-549, 1986.
    • (1986) Computers and Operations Research , vol.5 , pp. 533-549
    • Glover, F.1
  • 7
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimension reduction by locally linear embedding
    • S. Roweis and L. Saul. Nonlinear dimension reduction by locally linear embedding. Science, 290:2323-2326, 2000.
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 8
    • 47349100203 scopus 로고    scopus 로고
    • L. Saul and S. Roweis. Think globally, fit locally: unsupervised learning of nonolinear manifolds. Technical Report MS CIS-02-18, Univ. Pennsylvania, 2002.
    • L. Saul and S. Roweis. Think globally, fit locally: unsupervised learning of nonolinear manifolds. Technical Report MS CIS-02-18, Univ. Pennsylvania, 2002.
  • 11
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimension reduction
    • J. Tenenbaum, V. D. Silva, and J. Langford. A global geometric framework for nonlinear dimension reduction. Science, 290:2319-2323, 2000.
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.1    Silva, V.D.2    Langford, J.3
  • 12
    • 33744949513 scopus 로고    scopus 로고
    • Unsupervised learning of image manifolds by semidefinite programming
    • K. Q. Weinberger and L. K. Saul. Unsupervised learning of image manifolds by semidefinite programming. Int. J. Comput. Vision, 70(1):77-90, 2006.
    • (2006) Int. J. Comput. Vision , vol.70 , Issue.1 , pp. 77-90
    • Weinberger, K.Q.1    Saul, L.K.2
  • 15
    • 14544307975 scopus 로고    scopus 로고
    • Principal manifolds and nonlinear dimension reduction via local, tangent space alignment
    • Z. Zhang and H. Zha. Principal manifolds and nonlinear dimension reduction via local, tangent space alignment. SIAM Journal of Scientific Computing, 26(1):313-338, 2004.
    • (2004) SIAM Journal of Scientific Computing , vol.26 , Issue.1 , pp. 313-338
    • Zhang, Z.1    Zha, H.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.