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Volumn , Issue , 2010, Pages 186-191

Variational Bayesian data fusion of multi-class discrete observations with applications to cooperative human-robot estimation

Author keywords

[No Author keywords available]

Indexed keywords

CLOSED FORM; CONTINUOUS STATE; DISCRETIZATIONS; FUSION STRATEGIES; GAUSSIAN SOLUTIONS; GAUSSIANS; HIDDEN STATE; HUMAN -ROBOT INTERACTIONS; HYBRID BAYESIAN NETWORKS; LIKELIHOOD FUNCTIONS; MIXTURE MODEL; MULTI-CLASS; REAL-TIME DATA FUSION; STATE-DEPENDENT; TARGET LOCALIZATION; VARIATIONAL BAYESIAN;

EID: 77955837988     PISSN: 10504729     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ROBOT.2010.5509521     Document Type: Conference Paper
Times cited : (10)

References (17)
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    • FUSION 2009 , pp. 1265-1271
    • Jones, R.1    Connors, E.2    Endsley, M.3
  • 8
    • 0002425879 scopus 로고    scopus 로고
    • A variational approximation for bayesian networks with discrete and continuous latent variables
    • K. Murphy, "A variational approximation for bayesian networks with discrete and continuous latent variables," in Proc. UAI 1999.
    • Proc. UAI 1999
    • Murphy, K.1
  • 10
    • 79951765819 scopus 로고    scopus 로고
    • Efficient bounds for the softmax function and applications to approximate inference in hybrid models
    • G. Bouchard, "Efficient bounds for the softmax function and applications to approximate inference in hybrid models," in NIPS, vol. 21.
    • NIPS , vol.21
    • Bouchard, G.1
  • 12
    • 51349141335 scopus 로고    scopus 로고
    • Tractable probabilistic models for intention recognition based on expert knowledge
    • O. Schrempf, D. Albrecht, and U. Hanebeck, "Tractable probabilistic models for intention recognition based on expert knowledge," in IROS 2007, San Diego, CA, pp. 1429-1434.
    • IROS 2007, San Diego, CA , pp. 1429-1434
    • Schrempf, O.1    Albrecht, D.2    Hanebeck, U.3
  • 13
    • 70449387037 scopus 로고    scopus 로고
    • Intention recognition for partial-order plans using dynamic bayesian networks
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    • Krauthausen, P.1    Hanebeck, U.2
  • 16
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    • Bayesian parameter estimation via variational methods
    • T. Jaakkola and M. Jordan, "Bayesian parameter estimation via variational methods," Statsistics and Computing, vol. 10, pp. 25-37, 2000.
    • (2000) Statsistics and Computing , vol.10 , pp. 25-37
    • Jaakkola, T.1    Jordan, M.2
  • 17
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    • Localization with multimodal vision measurements in limited GPS environments using Gausssum filters
    • J. Schoenberg, M. Campbell, and I. Miller, "Localization with multimodal vision measurements in limited GPS environments using Gausssum filters," in ICRA 2009, pp. 1423-1428.
    • ICRA 2009 , pp. 1423-1428
    • Schoenberg, J.1    Campbell, M.2    Miller, I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.