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Volumn 2351, Issue , 2002, Pages 63-77

Pairwise clustering with matrix factorisation and the EM algorithm

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTER ANALYSIS; COMPUTER VISION; FACTORIZATION; IMAGE SEGMENTATION;

EID: 84948957580     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-47967-8_5     Document Type: Conference Paper
Times cited : (2)

References (19)
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    • Considerations on computing real logarithms of matrices,hamiltonian logarithms and skew-symmetric logarithms
    • L. Dieci. Considerations on computing real logarithms of matrices,hamiltonian logarithms and skew-symmetric logarithms. Linear Algebra and its Applications, 244:35–54, 1996.
    • (1996) Linear Algebra and Its Applications , vol.244 , pp. 35-54
    • Dieci, L.1
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    • Stochastic Complexity in Statistical Enquiry
    • J. Risanen. Stochastic Complexity in Statistical Enquiry. World Scientific, 1989.
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    • Risanen, J.1
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    • Quantitative measures of change based on feature organization: Eigenvalues and eigenvectors
    • S. Sarkar and K. L. Boyer. Quantitative measures of change based on feature organization: Eigenvalues and eigenvectors. Computer Vision and Image Understanding, 71(1):110–136, 1998.
    • (1998) Computer Vision and Image Understanding , vol.71 , Issue.1 , pp. 110-136
    • Sarkar, S.1    Boyer, K.L.2
  • 15
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    • Shi, J.1    Malik, J.2
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    • Data clustering by markovian relaxation and the information bottleneck method
    • Todd K. Leen, Thomas G. Dietteric h, and Volker Tresp, editors, MIT Press
    • Naftali Tishby and Noam Slonim. Data clustering by markovian relaxation and the information bottleneck method. In Todd K. Leen, Thomas G. Dietteric h, and Volker Tresp, editors, Advances in Neural Information Processing Systems 13, pages 640–646. MIT Press, 2001.
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    • Vlassis, N.1    Likas, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.