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Volumn , Issue , 2008, Pages 1240-1247

Estimating local optimums in EM algorithm over Gaussian mixture model

Author keywords

[No Author keywords available]

Indexed keywords

GAUSSIAN DISTRIBUTION; MACHINE LEARNING; MAXIMUM LIKELIHOOD ESTIMATION; ALGEBRA; BLIND SOURCE SEPARATION; COMMUNICATION CHANNELS (INFORMATION THEORY); IMAGE SEGMENTATION; LEARNING SYSTEMS; MAXIMUM LIKELIHOOD; OBJECT RECOGNITION; ROBOT LEARNING; THREE TERM CONTROL SYSTEMS; TRELLIS CODES;

EID: 56449107870     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1390156.1390312     Document Type: Conference Paper
Times cited : (13)

References (11)
  • 1
    • 0002629270 scopus 로고
    • Maximum likelihood from incomplete data via the em algorithm (with discussion)
    • Dempster, A. P., Laird, N. M., & Robin, D. B. (1977). Maximum likelihood from incomplete data via the em algorithm (with discussion). Journal of Royal Statistical Society B, 39, 1-38.
    • (1977) Journal of Royal Statistical Society B , vol.39 , pp. 1-38
    • Dempster, A.P.1    Laird, N.M.2    Robin, D.B.3
  • 2
    • 1942485278 scopus 로고    scopus 로고
    • Using the triangle inequality to accelerate k-means
    • Elkan, C. (2003). Using the triangle inequality to accelerate k-means. ICML (pp. 147-153).
    • (2003) ICML , pp. 147-153
    • Elkan, C.1
  • 3
    • 0029617280 scopus 로고
    • Convergence results for the em approach to mixtures of experts architectures
    • Jordan, M. I., & Xu, L. (1995). Convergence results for the em approach to mixtures of experts architectures. Neural Networks, 8, 1409-1431.
    • (1995) Neural Networks , vol.8 , pp. 1409-1431
    • Jordan, M.I.1    Xu, L.2
  • 6
    • 0037735771 scopus 로고    scopus 로고
    • Asymptotic convergence rate of the em algorithm for gaussian mixtures
    • Ma, J., Xu, L., & Jordan, M. I. (2001). Asymptotic convergence rate of the em algorithm for gaussian mixtures. Neural Computation, 12, 2881-2907.
    • (2001) Neural Computation , vol.12 , pp. 2881-2907
    • Ma, J.1    Xu, L.2    Jordan, M.I.3
  • 9
    • 2342533082 scopus 로고    scopus 로고
    • On convergence properties of the em algorithm for gaussian mixtures
    • Xu, L., & Jordan, M. I. (1996). On convergence properties of the em algorithm for gaussian mixtures. Neural Computation, 8, 129-151.
    • (1996) Neural Computation , vol.8 , pp. 129-151
    • Xu, L.1    Jordan, M.I.2
  • 10
    • 56449089516 scopus 로고    scopus 로고
    • On the lower bound of local optimums in k-means algorithm
    • Zhang, Z., Dai, B. T., & Tung, A. K. H. (2006). On the lower bound of local optimums in k-means algorithm. ICDM (pp. 775-786).
    • (2006) ICDM , pp. 775-786
    • Zhang, Z.1    Dai, B.T.2    Tung, A.K.H.3
  • 11
    • 56449113419 scopus 로고    scopus 로고
    • in em algorithm over gaussian mixture model
    • Zhang, Z., Dai, B. T., & Tung, A. K. H. (2008). Estimating local optimums in em algorithm over gaussian mixture model. http://www.comp.nus. edu.sg/~zhangzh2/papers/em.pdf.
    • (2008) Estimating local optimums
    • Zhang, Z.1    Dai, B.T.2    Tung, A.K.H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.