메뉴 건너뛰기




Volumn , Issue , 2002, Pages

Linear time inference in hierarchical HMMS

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; HIDDEN MARKOV MODELS;

EID: 84899005183     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (49)

References (22)
  • 1
    • 0000675721 scopus 로고    scopus 로고
    • Context-specific independence in bayesian networks
    • BFGK96
    • [BFGK96] C. Boutilier, N. Friedman, M. Goldszmidt, and D. Koller. Context-Specific Independence in Bayesian Networks. In UAI, 1996.
    • (1996) UAI
    • Boutilier, C.1    Friedman, N.2    Goldszmidt, M.3    Koller, D.4
  • 3
    • 0035247061 scopus 로고    scopus 로고
    • Tracking and surveillance in wide-area spatial environments using the abstract hidden Markov model
    • BVW01
    • [BVW01] H. Bui, S. Venkatesh, and G. West. Tracking and surveillance in wide-area spatial environments using the Abstract Hidden Markov Model. Intl. J. of Pattern Rec. and AI, 2001.
    • (2001) Intl. J. of Pattern Rec. and AI
    • Bui, H.1    Venkatesh, S.2    West, G.3
  • 4
    • 0032119668 scopus 로고    scopus 로고
    • The hierarchical hidden Markov model: Analysis and applications
    • FST98
    • [FST98] Shai Fine, Yoram Singer, and Naftali Tishby. The hierarchical Hidden Markov Model: Analysis and applications. Machine Learning, 32:41, 1998.
    • (1998) Machine Learning , vol.32 , pp. 41
    • Fine, S.1    Singer, Y.2    Tishby, N.3
  • 5
    • 0031268341 scopus 로고    scopus 로고
    • Factorial hidden Markov models
    • GJ97
    • [GJ97] Z. Ghahramani and M. Jordan. Factorial hidden Markov models. Machine Learning, 29:245-273, 1997.
    • (1997) Machine Learning , vol.29 , pp. 245-273
    • Ghahramani, Z.1    Jordan, M.2
  • 8
    • 0034245366 scopus 로고    scopus 로고
    • Recognition of visual activities and interactions by stochastic parsing
    • IB00
    • [IB00] Y. Ivanov and A. Bobick. Recognition of visual activities and interactions by stochastic parsing. IEEE Trans. on Pattern Analysis and Machine Intelligence, 22(8):852-872, 2000.
    • (2000) IEEE Trans. on Pattern Analysis and Machine Intelligence , vol.22 , Issue.8 , pp. 852-872
    • Ivanov, Y.1    Bobick, A.2
  • 10
    • 0008091392 scopus 로고
    • Triangulation of graphs - Algorithms giving small total state space
    • Kja90, Aalborg Univ. Denmark
    • [Kja90] U. Kjaerulff. Triangulation of graphs - Algorithms giving small total state space. Technical Report R-90-09, Dept. of Math. and Comp. Sci., Aalborg Univ., Denmark, 1990.
    • (1990) Technical Report R-90-09, Dept. of Math. and Comp. Sci.
    • Kjaerulff, U.1
  • 11
    • 0002532056 scopus 로고
    • The estimation of stochastic context-free grammars using the inside-outside algorithm
    • LY90
    • [LY90] K. Lari and S. J. Young. The estimation of stochastic context-free grammars using the Inside-Outside algorithm. Computer Speech and Language, 4:35-56, 1990.
    • (1990) Computer Speech and Language , vol.4 , pp. 35-56
    • Lari, K.1    Young, S.J.2
  • 14
    • 84898934540 scopus 로고    scopus 로고
    • Applying the junction tree algorithm to variable-length DBNs
    • Mur01, UC Berkeley
    • [Mur01] K. Murphy. Applying the junction tree algorithm to variable-length DBNs. Technical report, Comp. Sci. Div., UC Berkeley, 2001.
    • (2001) Technical Report, Comp. Sci. Div.
    • Murphy, K.1
  • 15
    • 0007788905 scopus 로고    scopus 로고
    • The factored frontier algorithm for approximate inference in DBNs
    • MW01
    • [MW01] K. Murphy and Y. Weiss. The Factored Frontier Algorithm for Approximate Inference in DBNs. In UAI, 2001.
    • (2001) UAI
    • Murphy, K.1    Weiss, Y.2
  • 16
    • 0034444905 scopus 로고    scopus 로고
    • Maximum likelihood training of the embedded HMM for face detection and recognition
    • NI00
    • [NI00] A. Nefian and M. Hayes. Maximum likelihood training of the embedded HMM for face detection and recognition. In IEEE Intl. Conf. on Image Processing, 2000.
    • (2000) IEEE Intl. Conf. on Image Processing
    • Nefian, A.1    Hayes, M.2
  • 17
    • 0001070375 scopus 로고    scopus 로고
    • Reinforcement learning with hierarchies of machines
    • PR97
    • [PR97] R. Parr and S. Russell. Reinforcement learning with hierarchies of machines. In NIPS, 1997.
    • (1997) NIPS
    • Parr, R.1    Russell, S.2
  • 18
    • 0024610919 scopus 로고
    • A tutorial on hidden Markov models and selected applications in speech recognition
    • Rab89
    • [Rab89] L. R. Rabiner. A tutorial on Hidden Markov Models and selected applications in speech recognition. Proc. of the IEEE, 77(2):257-286, 1989.
    • (1989) Proc. of the IEEE , vol.77 , Issue.2 , pp. 257-286
    • Rabiner, L.R.1
  • 19
    • 0032596518 scopus 로고    scopus 로고
    • Mixed memory Markov models: Decomposing complex stochastic processes as mixture of simpler ones
    • SJ99
    • [SJ99] L. Saul and M. Jordan. Mixed memory Markov models: Decomposing complex stochastic processes as mixture of simpler ones. Machine Learning, 37(1):75-87, 1999.
    • (1999) Machine Learning , vol.37 , Issue.1 , pp. 75-87
    • Saul, L.1    Jordan, M.2
  • 20
    • 0033170372 scopus 로고    scopus 로고
    • Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning
    • SPS99
    • [SPS99] R.S. Sutton, D. Precup, and S. Singh. Between MDPs and semi-MDPs: A framework for temporal abstraction in reinforcement learning. Artificial Intelligence, 112:181-211, 1999.
    • (1999) Artificial Intelligence , vol.112 , pp. 181-211
    • Sutton, R.S.1    Precup, D.2    Singh, S.3
  • 21
    • 0034860462 scopus 로고    scopus 로고
    • Learning hierarchical partially observed Markov decision process models for robot navigation
    • TRM01
    • [TRM01] G. Theocharous, K. Rohanimanesh, and S. Mahadevan. Learning Hierarchical Partially Observed Markov Decision Process Models for Robot Navigation. In ICRA, 2001.
    • (2001) ICRA
    • Theocharous, G.1    Rohanimanesh, K.2    Mahadevan, S.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.