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Volumn , Issue , 2003, Pages 416-422

Recognition of human activity through hierarchical stochastic learning

Author keywords

[No Author keywords available]

Indexed keywords

FUNCTIONAL CAPABILITIES; HIERARCHICAL HIDDEN MARKOV MODELS; HIERARCHICAL STRUCTURES; HUMAN ACTIONS; HUMAN ACTIVITIES; PROBABILISTIC METHODS; STOCHASTIC LEARNING;

EID: 78649705535     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (51)

References (10)
  • 3
    • 0032119668 scopus 로고    scopus 로고
    • The hierarchical hidden markov model: Analysis and applications
    • S. Fine, Y. Singer, and N. Tishby. The hierarchical hidden markov model: Analysis and applications. Machine Learning, 32:41-62, 1998.
    • (1998) Machine Learning , vol.32 , pp. 41-62
    • Fine, S.1    Singer, Y.2    Tishby, N.3
  • 5
    • 85024429815 scopus 로고
    • A new approach to linear filtering and prediction problems
    • R. E. Kalman. A new approach to linear filtering and prediction problems. Transactions of the ASME-Journal of Basic Engineering, 82(Series D):35-45, 1960.
    • (1960) Transactions of the ASME-Journal of Basic Engineering , vol.82 , Issue.SERIES D , pp. 35-45
    • Kalman, R.E.1
  • 8
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • February
    • L. R. Rabiner. A tutorial on hidden Markov models and selected applications in speech recognition. Proceedings of the IEEE, 77(2):257-286, February1989.
    • (1989) Proceedings of the IEEE , vol.77 , Issue.2 , pp. 257-286
    • Rabiner, L.R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.