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Volumn 15, Issue 2, 2000, Pages 1050-1053

Minimum entropy estimation of hierarchical random graph parameters for character recognition

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTER RECOGNITION; GRAPH THEORY; MAXIMUM LIKELIHOOD ESTIMATION; MINIMUM ENTROPY METHODS; STEREOPHONIC BROADCASTING;

EID: 34147181775     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Article
Times cited : (1)

References (7)
  • 4
    • 0022890536 scopus 로고
    • Maximum mutual information estimation of hidden Markov model parameters for speech recognition
    • Apr.
    • L. R. Bahl, P. F. Brown, P. V. de Souza and R. L. Mercer, "Maximum mutual information estimation of hidden Markov model parameters for speech recognition," Proc. ICASSP-86, Tokyo, 49-52, (Apr. 1986)
    • (1986) Proc. ICASSP-86, Tokyo , pp. 49-52
    • Bahl, L.R.1    Brown, P.F.2    De Souza, P.V.3    Mercer, R.L.4
  • 6
    • 0025665637 scopus 로고
    • Neural networks, maximum mutual information training, and maximum likelihood training
    • Apr.
    • L. T. Niles, H. F. Silverman and M. A. Bush, "Neural networks, maximum mutual information training, and maximum likelihood training," Proc. ICASSP-90, (Apr. 1990)
    • (1990) Proc. ICASSP-90
    • Niles, L.T.1    Silverman, H.F.2    Bush, M.A.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.