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Volumn , Issue , 2009, Pages 1697-1704

The infinite factorial hidden Markov model

Author keywords

[No Author keywords available]

Indexed keywords

BLIND SOURCE SEPARATION; DYNAMIC PROGRAMMING; PROBABILITY DISTRIBUTIONS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

EID: 84858786659     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (79)

References (14)
  • 1
    • 0024610919 scopus 로고
    • A tutorial on hidden markov models and selected applications in speech recognition
    • L. R. Rabiner, "A tutorial on hidden markov models and selected applications in speech recognition," Proceedings of the IEEE, vol. 77, pp. 257-286, 1989.
    • (1989) Proceedings of the IEEE , vol.77 , pp. 257-286
    • Rabiner, L.R.1
  • 2
    • 0031268341 scopus 로고    scopus 로고
    • Factorial hidden markov models
    • Z. Ghahramani and M. I. Jordan, "Factorial hidden markov models," Machine Learning, vol. 29, pp. 245-273, 1997. (Pubitemid 127510040)
    • (1997) Machine Learning , vol.29 , Issue.2-3 , pp. 245-273
    • Ghahramani, Z.1    Jordan, M.I.2
  • 9
    • 0042826822 scopus 로고    scopus 로고
    • Independent component analysis: Algorithms and applications
    • DOI 10.1016/S0893-6080(00)00026-5, PII S0893608000000265
    • A. Hyvarinen and E. Oja, "Independent component analysis: Algorithms and applications," Neural Networks, vol. 13, pp. 411-30, 2000. (Pubitemid 30447427)
    • (2000) Neural Networks , vol.13 , Issue.4-5 , pp. 411-430
    • Hyvarinen, A.1    Oja, E.2
  • 10
    • 38149041041 scopus 로고    scopus 로고
    • Infinite sparse factor analysis and infinite independent components analysis
    • D. Knowles and Z. Ghahramani, "Infinite sparse factor analysis and infinite independent components analysis," Lecture Notes in Computer Science, vol. 4666, p. 381, 2007.
    • (2007) Lecture Notes in Computer Science , vol.4666 , pp. 381
    • Knowles, D.1    Ghahramani, Z.2
  • 11
    • 0036489069 scopus 로고    scopus 로고
    • Bayesian methods for hidden markov models: Recursive computing in the 21st century
    • Mar.
    • S. L. Scott, "Bayesian methods for hidden markov models: Recursive computing in the 21st century," Journal of the American Statistical Association, vol. 97, pp. 337-351, Mar. 2002.
    • (2002) Journal of the American Statistical Association , vol.97 , pp. 337-351
    • Scott, S.L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.