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Volumn 3578, Issue , 2005, Pages 203-210

A dynamic merge-or-split learning algorithm on Gaussian mixture for automated model selection

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; DATA REDUCTION; GAUSSIAN NOISE (ELECTRONIC); PROBLEM SOLVING;

EID: 26444498478     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11508069_27     Document Type: Conference Paper
Times cited : (6)

References (12)
  • 2
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    • Mixture densities, maximum likelihood and the EM algorithm
    • R. A. Render and H. F. Walker, "Mixture densities, maximum likelihood and the EM algorithm," SIAM Review, 26(2): 195-239, 1984.
    • (1984) SIAM Review , vol.26 , Issue.2 , pp. 195-239
    • Render, R.A.1    Walker, H.F.2
  • 4
    • 0001781043 scopus 로고
    • Distribution problems in clustering
    • J. Van Ryzin Eds., New York: Academic Press
    • J. A. Hartigan, "Distribution problems in clustering," Classification and clustering, J. Van Ryzin Eds., pp: 45-72, New York: Academic Press, 1977.
    • (1977) Classification and Clustering , pp. 45-72
    • Hartigan, J.A.1
  • 5
    • 0016355478 scopus 로고
    • A new look at the statistical model identification
    • H. Akaike, "A New Look at the Statistical Model Identification, " IEEE Trans. on Automatic Control, AC-19: 716-723, 1974.
    • (1974) IEEE Trans. on Automatic Control , vol.AC-19 , pp. 716-723
    • Akaike, H.1
  • 6
    • 0742271703 scopus 로고    scopus 로고
    • A gradient BYY harmony learning rule on Gaussian mixture with automated model selection
    • J. Ma, T. Wang and L. Xu, "A gradient BYY harmony learning rule on Gaussian mixture with automated model selection," Neurocomputing, 56: 481-487, 2004.
    • (2004) Neurocomputing , vol.56 , pp. 481-487
    • Ma, J.1    Wang, T.2    Xu, L.3
  • 7
    • 26444579515 scopus 로고    scopus 로고
    • Two further gradient BYY learning rules for Gaussian mixture with automated model selection
    • J. Ma, B. Gao, Y. Wang, and Q. Cheng, "Two further gradient BYY learning rules for Gaussian mixture with automated model selection," Lecture Notes in Computer Science, 3177: 690-695, 2004.
    • (2004) Lecture Notes in Computer Science , vol.3177 , pp. 690-695
    • Ma, J.1    Gao, B.2    Wang, Y.3    Cheng, Q.4
  • 10
    • 0038309400 scopus 로고    scopus 로고
    • EM Algorithm for learning Gaussian mixture models with split-and-merge operation
    • Z. Zhang, C. Chen, J. Sun, and K. L. Chan, "EM Algorithm for learning Gaussian mixture models with split-and-merge operation," Pattern Recognition, 36(9): 1973-1983, 2003.
    • (2003) Pattern Recognition , vol.36 , Issue.9 , pp. 1973-1983
    • Zhang, Z.1    Chen, C.2    Sun, J.3    Chan, K.L.4
  • 11
    • 0036469527 scopus 로고    scopus 로고
    • A greedy em algorithm for Gaussian mixture learning
    • N. Vlassis and A. Likas, "A Greedy EM Algorithm for Gaussian Mixture Learning," Neural Processing Letters, 15: 77-87, 2002.
    • (2002) Neural Processing Letters , vol.15 , pp. 77-87
    • Vlassis, N.1    Likas, A.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.