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Volumn 2, Issue , 2005, Pages 1148-1153

Learning probability density functions from marginal distributions with applications to gaussian mixtures

Author keywords

[No Author keywords available]

Indexed keywords

ESTIMATION; LEARNING SYSTEMS; MATHEMATICAL MODELS; MONTE CARLO METHODS; OPTIMIZATION; PERFORMANCE; PROBLEM SOLVING;

EID: 33745942836     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2005.1556015     Document Type: Conference Paper
Times cited : (5)

References (18)
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    • (1994) IEEE Transactions on Signal Processing , vol.42 , Issue.10 , pp. 2795-2810
    • Hwang, J.1    Lay, S.2    Lippman, A.3
  • 4
    • 0001473437 scopus 로고
    • On estimation of a probability density function and mode
    • E. Parzen, "On estimation of a probability density function and mode," Ann. Math. Statist., vol. 33, pp. 1065-1076, 1962.
    • (1962) Ann. Math. Statist. , vol.33 , pp. 1065-1076
    • Parzen, E.1
  • 6
    • 1342308826 scopus 로고    scopus 로고
    • Probabilistic space-time video modeling via piecewise GMM
    • March
    • H. Greenspan, J. Goldberger, and A. Mayer, "Probabilistic space-time video modeling via piecewise GMM," IEEE Trans. Patt. Anal. Mach. Intell., vol. 26, no. 3, pp. 384-396, March 2004.
    • (2004) IEEE Trans. Patt. Anal. Mach. Intell. , vol.26 , Issue.3 , pp. 384-396
    • Greenspan, H.1    Goldberger, J.2    Mayer, A.3
  • 8
    • 5044233036 scopus 로고    scopus 로고
    • A GMM parts based face representation for improved verification through relevance adaptation
    • Washington, D.C., USA: Springer, June 27-July 02
    • S. Lucey and T. Chen, "A GMM parts based face representation for improved verification through relevance adaptation," in 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04), vol. 2. Washington, D.C., USA: Springer, June 27-July 02 2004, pp. 855-861.
    • (2004) 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'04) , vol.2 , pp. 855-861
    • Lucey, S.1    Chen, T.2
  • 9
    • 0003857778 scopus 로고    scopus 로고
    • A gentle tutorial on the em algorithm and its application to parameter estimation for gaussian mixture and hidden markov models
    • J. A. Bilmes, "A gentle tutorial on the EM algorithm and its application to parameter estimation for gaussian mixture and hidden markov models," University of Berkeley, Tech. Rep. ICSI-TR-97-021, 1997.
    • (1997) University of Berkeley, Tech. Rep. , vol.ICSI-TR-97-021
    • Bilmes, J.A.1
  • 16
    • 2342533082 scopus 로고    scopus 로고
    • On convergence properties of the em algorithm for gaussian mixtures
    • January
    • L. Xu and M. I. Jordan, "On convergence properties of the EM algorithm for gaussian mixtures," Neural Computation, vol. 16, no. 1, pp. 129-151, January 1996.
    • (1996) Neural Computation , vol.16 , Issue.1 , pp. 129-151
    • Xu, L.1    Jordan, M.I.2
  • 18
    • 0242657969 scopus 로고    scopus 로고
    • Competitive em algorithm for finite mixture models
    • B. Zhang, C. Zhang, and X. Yi, "Competitive EM algorithm for finite mixture models," Pattern Recognition, vol. 37, no. 1, pp. 131-144, 2004.
    • (2004) Pattern Recognition , vol.37 , Issue.1 , pp. 131-144
    • Zhang, B.1    Zhang, C.2    Yi, X.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.