메뉴 건너뛰기




Volumn , Issue , 2008, Pages 482-487

An algorithm for estimating number of components of gaussian mixture model based on penalized distance

Author keywords

Finite mixture model; Greedy EM; Number of components; Parzen window; Penalized minimum matching distance

Indexed keywords

ARTIFICIAL INTELLIGENCE; BLIND SOURCE SEPARATION; COMMUNICATION CHANNELS (INFORMATION THEORY); ESTIMATION; IMAGE SEGMENTATION; MIXTURES; NEURAL NETWORKS; OBJECT RECOGNITION; PARAMETER ESTIMATION; SIGNAL PROCESSING; TRELLIS CODES;

EID: 51849113242     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNNSP.2008.4590397     Document Type: Conference Paper
Times cited : (6)

References (11)
  • 3
    • 0002629270 scopus 로고
    • Maximum Likelihood Estimation from Incomplete Data via the EM Algorithm
    • A. Dempster, N. Laird, and D. Rubin, "Maximum Likelihood Estimation from Incomplete Data via the EM Algorithm", J. royal Statistical Soc. B, Vol.39, pp.1-38,1977.
    • (1977) J. royal Statistical Soc. B , vol.39 , pp. 1-38
    • Dempster, A.1    Laird, N.2    Rubin, D.3
  • 5
    • 0016355478 scopus 로고
    • A new look at statistical model identification
    • H. Akaike, "A new look at statistical model identification", IEEE Trans. on Automatic Control, Vol.19, pp.716-723, 1974.
    • (1974) IEEE Trans. on Automatic Control , vol.19 , pp. 716-723
    • Akaike, H.1
  • 6
    • 8344256555 scopus 로고    scopus 로고
    • Estimation for the number of components in a mixture model using stepwise split-and-merge EM algorithm
    • H.X. Wang, B.Luo, Q. B. Zhang and S.Wei, "Estimation for the number of components in a mixture model using stepwise split-and-merge EM algorithm", Pattern Recognition Letters, Vol.25, pp. 1799-1809,2004.
    • (2004) Pattern Recognition Letters , vol.25 , pp. 1799-1809
    • Wang, H.X.1    Luo, B.2    Zhang, Q.B.3    Wei, S.4
  • 8
    • 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. Vol.15, No.1, pp.77-87,2002.
    • (2002) Neural Processing Letters , vol.15 , Issue.1 , pp. 77-87
    • Vlassis, N.1    Likas, A.2
  • 9
    • 0037317897 scopus 로고    scopus 로고
    • Efficient Greedy Learning of Gaussian Mixture Models
    • J. J. Verbeek, N. Vlassis and B. Krose. "Efficient Greedy Learning of Gaussian Mixture Models". Neural Computation, Vol.5, No.2, pp.469-485,2003.
    • (2003) Neural Computation , vol.5 , Issue.2 , pp. 469-485
    • Verbeek, J.J.1    Vlassis, N.2    Krose, B.3
  • 10
    • 32044442970 scopus 로고    scopus 로고
    • Penalized minimum matching distance-guided EM algorithm
    • W. Luo. "Penalized minimum matching distance-guided EM algorithm". Int. J. electron. Commun.(AEU). Vol.60, pp.235-239,2006.
    • (2006) Int. J. electron. Commun.(AEU) , vol.60 , pp. 235-239
    • Luo, W.1
  • 11
    • 0003922190 scopus 로고    scopus 로고
    • Pattern Classification
    • Wiley, New York
    • R. O. Duda, P. E. Hart and D. G. Stork. Pattern Classification, second. Wiley, New York,2001
    • (2001) second
    • Duda, R.O.1    Hart, P.E.2    Stork, D.G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.