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Volumn , Issue , 2004, Pages

Computing Gaussian mixture models with EM using equivalence constraints

Author keywords

[No Author keywords available]

Indexed keywords

DENSITY ESTIMATION; EQUIVALENCE CONSTRAINTS; GAUSSIAN MIXTURE MODEL; MODEL ESTIMATION; MODEL PARAMETERS; NEGATIVE CONSTRAINTS; POSITIVE CONSTRAINTS; SIDE INFORMATION;

EID: 84898968165     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (160)

References (10)
  • 1
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the em algorithm
    • A. P. Dempster, N. M. Laird, and D. B. Rubin. Maximum likelihood from incomplete data via the EM algorithm. JRSSB, 39:1-38, 1977.
    • (1977) JRSSB , vol.39 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Rubin, D.B.3
  • 3
    • 84898935225 scopus 로고    scopus 로고
    • Manning. From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering
    • D. Klein, Sepandar D. Kamvar, and Christopher D. Manning. From instance-level constraints to space-level constraints: Making the most of prior knowledge in data clustering. In ICML, 2002.
    • (2002) ICML
    • Christopher, D.1    Klein, D.2    Kamvar, S.D.3
  • 4
    • 84898980291 scopus 로고    scopus 로고
    • A mixture of experts classifier with learning based on both labelled and unlabelled data
    • M. C. Mozer, M. I. Jordan, and T. Petsche, editors, MIT Press
    • D. Miller and S. Uyar. A mixture of experts classifier with learning based on both labelled and unlabelled data. In M. C. Mozer, M. I. Jordan, and T. Petsche, editors, NIPS 9, pages 571-578. MIT Press, 1997.
    • (1997) NIPS , vol.9 , pp. 571-578
    • Miller, D.1    Uyar, S.2
  • 5
    • 0031630992 scopus 로고    scopus 로고
    • Learning to classify text from labeled and unlabeled documents
    • Madison, US, AAAI Press, Menlo Park, US
    • K. Nigam, A.K. McCallum, S. Thrun, and T.M. Mitchell. Learning to classify text from labeled and unlabeled documents. In Proceedings of AAAI-98, pages 792-799, Madison, US, 1998. AAAI Press, Menlo Park, US.
    • (1998) Proceedings of AAAI-98 , pp. 792-799
    • Nigam, K.1    Mccallum, A.K.2    Thrun, S.3    Mitchell, T.M.4
  • 6
    • 84898985444 scopus 로고    scopus 로고
    • Support vector machines applied to face recognition
    • M. C. Mozer, M. I. Jordan, and T. Petsche, editors, MIT Press
    • P.J. Phillips. Support vector machines applied to face recognition. In M. C. Mozer, M. I. Jordan, and T. Petsche, editors, NIPS 11, page 803ff. MIT Press, 1998.
    • (1998) NIPS 11
    • Phillips, P.J.1
  • 7
    • 84937544784 scopus 로고    scopus 로고
    • Adjustment learning and relevant component analysis
    • A. Heyden, G. Sparr, M. Nielsen, and P. Johansen, editors
    • N. Shental, T. Hertz, D.Weinshall, and M. Pavel. Adjustment learning and relevant component analysis. In A. Heyden, G. Sparr, M. Nielsen, and P. Johansen, editors, Computer Vision - ECCV 2002, volume 4, page 776ff, 2002.
    • (2002) Computer Vision - ECCV 2002 , vol.4
    • Shental, N.1    Hertz, T.2    Weinshall, D.3    Pavel, M.4
  • 8
    • 0042878370 scopus 로고    scopus 로고
    • Partially labeled classification with markov random walks
    • The MIT Press
    • M. Szummer and T. Jaakkola. Partially labeled classification with markov random walks. In NIPS, volume 14. The MIT Press, 2001.
    • (2001) NIPS , vol.14
    • Szummer, M.1    Jaakkola, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.