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Volumn FS-13-02, Issue , 2013, Pages 120-125

Reasoning with uncertainties over existence of objects

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; NEURAL NETWORKS;

EID: 84898871269     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (1)

References (22)
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    • V, B.-N.1    Ma, W.-K.2
  • 2
    • 84898903970 scopus 로고    scopus 로고
    • Sequential monte carlo implementation of the PHD filter for multi-target tracking
    • 792799
    • B.-N, V.; S., S.; and A., D. 2003. Sequential monte carlo implementation of the PHD filter for multi-target tracking. In Proc. Int'l Conf. on Information Fusion, 792799.
    • (2003) Proc. Int'l Conf. on Information Fusion
    • V, B.-N.1    S, S.2    D, A.3
  • 3
    • 14344249743 scopus 로고    scopus 로고
    • The infinite hidden Markov model
    • Beal, M. J.; Ghahramani, Z.; and Rasmussen, C. E. 2001. The infinite hidden Markov model. In NIPS, 577-584.
    • (2001) NIPS , pp. 577-584
    • Beal, M.J.1    Ghahramani, Z.2    Rasmussen, C.E.3
  • 5
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    • 77958539351 scopus 로고    scopus 로고
    • The infinite partially observable Markov decision process
    • Doshi-Velez, F. 2009. The infinite partially observable Markov decision process. In NIPS, 477-485.
    • (2009) NIPS , pp. 477-485
    • Doshi-Velez, F.1
  • 7
    • 84858786659 scopus 로고    scopus 로고
    • The infinite factorial hidden Markov model
    • Gael, J. V.; Teh, Y. W.; and Ghahramani, Z. 2008. The infinite factorial hidden Markov model. In NIPS, 1697-1704.
    • (2008) NIPS , pp. 1697-1704
    • Gael, J.V.1    Teh, Y.W.2    Ghahramani, Z.3
  • 10
    • 77956889087 scopus 로고
    • Reversible jump Markov chain monte carlo computation and Bayesian model determination
    • Green, P. J. 1995. Reversible jump Markov chain monte carlo computation and Bayesian model determination. Biometrika 82(4):711-732.
    • (1995) Biometrika , vol.82 , Issue.4 , pp. 711-732
    • Green, P.J.1
  • 12
    • 77956890234 scopus 로고
    • Monte Carlo sampling methods using Markov chains and their applications
    • Hastings, W. K. 1970. Monte Carlo sampling methods using Markov chains and their applications. Biometrika 57(1):97-109.
    • (1970) Biometrika , vol.57 , Issue.1 , pp. 97-109
    • Hastings, W.K.1
  • 13
    • 71149086468 scopus 로고    scopus 로고
    • Approximate inference for planning in stochastic relational worlds
    • Lang, T., and Toussaint, M. 2009. Approximate inference for planning in stochastic relational worlds. In ICML, 74.
    • (2009) ICML , pp. 74
    • Lang, T.1    Toussaint, M.2
  • 20
    • 1642275518 scopus 로고    scopus 로고
    • Multi-target particle filtering for the probability hypothesis density
    • Sidenbladh, H. 2003. Multi-target particle filtering for the probability hypothesis density. In Proc. Int'l Conf. on Information Fusion, 279-290.
    • (2003) Proc. Int'l Conf. on Information Fusion , pp. 279-290
    • Sidenbladh, H.1
  • 21
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    • Abstract planning with unknown object quantities and properties
    • Srivastava, S.; Immerman, N.; and Zilberstein, S. 2009. Abstract planning with unknown object quantities and properties. In SARA.
    • (2009) SARA
    • Srivastava, S.1    Immerman, N.2    Zilberstein, S.3
  • 22
    • 34547976747 scopus 로고    scopus 로고
    • Sharing clusters among related groups: Hierarchical dirichlet processes
    • Teh, Y. W.; Jordan, M. I.; Beal, M. J.; and Blei, D. M. 2004. Sharing clusters among related groups: Hierarchical dirichlet processes. In NIPS.
    • (2004) NIPS
    • Teh, Y.W.1    Jordan, M.I.2    Beal, M.J.3    Blei, D.M.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.