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Volumn 1, Issue , 2010, Pages 575-580

Nonnegative Matrix Factorization clustering on multiple manifolds

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; CLUSTERING ALGORITHMS; FACTORIZATION;

EID: 77958573398     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (56)

References (16)
  • 3
    • 33744552752 scopus 로고    scopus 로고
    • For most large underdetermined systems of equations, the minimal 11-norm near-solution approximates the sparsest near-solution
    • Donoho, D. L. 2006. For most large underdetermined systems of equations, the minimal 11-norm near-solution approximates the sparsest near-solution. Communications on pure and applied mathematics 59(7):907-934.
    • (2006) Communications on Pure and Applied Mathematics , vol.59 , Issue.7 , pp. 907-934
    • Donoho, D.L.1
  • 7
    • 84900510076 scopus 로고    scopus 로고
    • Non-negative matrix factorization with sparseness constraints
    • Hover, P. O. 2004. Non-negative matrix factorization with sparseness constraints. J. Mach. team. Res. 5:1457-1469.
    • (2004) J. Mach. Team. Res. , vol.5 , pp. 1457-1469
    • Hover, P.O.1
  • 11
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • Niyogi, P. 2003. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation 15:1373-1396.
    • (2003) Neural Computation , vol.15 , pp. 1373-1396
    • Niyogi, P.1
  • 12
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Roweis, S. T., and Saul. L. K. 2000. Nonlinear dimensionality reduction by locally linear embedding. Science 290(5500):2323-2326.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 16
    • 33646528853 scopus 로고    scopus 로고
    • Exploiting discriminant information in non-negative matrix factorization with application to frontal face verification
    • Zafeiriou, S.; Tefas, A.; Buciu, I.: and Pitas, I. 2007. Exploiting discriminant information in non-negative matrix factorization with application to frontal face verification. IEEE Transactions on Neural Networks 17(3):683-695.
    • (2007) IEEE Transactions on Neural Networks , vol.17 , Issue.3 , pp. 683-695
    • Zafeiriou, S.1    Tefas, A.2    Buciu, I.3    Pitas, I.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.