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Volumn , Issue , 2007, Pages 629-634

A convergent solution to tensor subspace learning

Author keywords

[No Author keywords available]

Indexed keywords

CONVERGENT SOLUTIONS; ITERATIVE ALGORITHM; OBJECTIVE FUNCTION VALUES; REAL-WORLD DATABASE; SOLUTION PROCEDURE; TENSOR REPRESENTATION; TENSOR SUBSPACE ANALYSIS; TENSOR SUBSPACE LEARNING;

EID: 84880903188     PISSN: 10450823     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (23)

References (13)
  • 1
    • 0031185845 scopus 로고    scopus 로고
    • Eigenfaces vs. Fisherfaces: Recognition using class specific linear projection
    • P. Belhumeur, J. Hespanha, and D. Kriegman. Eigenfaces vs. fisherfaces: Recognition using class specific linear projection. IEEE TPAMI, pages 711-720, 1997.
    • (1997) IEEE TPAMI , pp. 711-720
    • Belhumeur, P.1    Hespanha, J.2    Kriegman, D.3
  • 5
    • 0001683067 scopus 로고
    • Point-to-set maps in mathematical programming
    • W. Hogan. Point-to-set maps in mathematical programming. SIAM Rev., 15(3):591-603, 1973.
    • (1973) SIAM Rev. , vol.15 , Issue.3 , pp. 591-603
    • Hogan, W.1
  • 6
    • 0016923670 scopus 로고
    • Sufficient conditions for the convergence of monotonic mathematical programming algorithms
    • R. Meyer. Sufficient conditions for the convergence of monotonic mathematical programming algorithms. J. Comp. Sys. Sci., 12:108-121, 1976.
    • (1976) J. Comp. Sys. Sci. , vol.12 , pp. 108-121
    • Meyer, R.1
  • 7
    • 0035683732 scopus 로고    scopus 로고
    • Linear image coding for regression and classification using the tensor-rank principle
    • A. Shashua and A. Levin. Linear image coding for regression and classification using the tensor-rank principle. Proceedings of CVPR, 2001.
    • Proceedings of CVPR, 2001
    • Shashua, A.1    Levin, A.2
  • 11
    • 33947194180 scopus 로고    scopus 로고
    • Graph embedding and extension: A general framework for dimensionality reduction
    • S. Yan, D. Xu, B. Zhang, H. Zhang, Q. Yang, and S. Lin. Graph embedding and extension: A general framework for dimensionality reduction. IEEE TPAMI, 2007.
    • (2007) IEEE TPAMI
    • Yan, S.1    Xu, D.2    Zhang, B.3    Zhang, H.4    Yang, Q.5    Lin, S.6
  • 13
    • 30044447599 scopus 로고    scopus 로고
    • Generalized low rank approximations of matrices
    • J. Ye. Generalized low rank approximations of matrices. Machine Learning Journal, 2005.
    • (2005) Machine Learning Journal
    • Ye, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.