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Volumn , Issue , 2006, Pages 194-201

Subspace hierarchical particle filter

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER VISION; HIERARCHICAL SYSTEMS; PROBABILITY DISTRIBUTIONS; TRACKING (POSITION);

EID: 34948891513     PISSN: 15301834     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SIBGRAPI.2006.42     Document Type: Conference Paper
Times cited : (15)

References (16)
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    • Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks
    • A. Doucet, N. de Freitas, K. P. Murphy, and S. J. Russell. Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. In UAI, pages 176-183, 2000.
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    • Doucet, A.1    de Freitas, N.2    Murphy, K.P.3    Russell, S.J.4
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    • On sequential Monte Carlo sampling methods for Bayesian filtering
    • A. Doucet, S. Godsill, and C. Andrieu. On sequential Monte Carlo sampling methods for Bayesian filtering. Statistics and Computing, 10(3): 197-208, 2000.
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    • Doucet, A.1    Godsill, S.2    Andrieu, C.3
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    • 0027580559 scopus 로고
    • Novel approach to nonlinear/non-Gaussian Bayesian state estimation
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    • (1993) Proceedings-F Radar and Signal Processing , vol.140 , Issue.2 , pp. 107-113
    • Gordon, N.J.1    Salmond, D.J.2    Smith, A.F.M.3
  • 8
    • 0032136153 scopus 로고    scopus 로고
    • CONDENSATION Conditional Density Propagation for Visual Tracking
    • M. Isard and A. Blake. CONDENSATION Conditional Density Propagation for Visual Tracking. IJCV, 29(1): 5-28, 1998.
    • (1998) IJCV , vol.29 , Issue.1 , pp. 5-28
    • Isard, M.1    Blake, A.2
  • 9
    • 26444479778 scopus 로고
    • Optimization by Simulated Annealing
    • S. Kirkpatrick, C. D. Gelatt, and M. P. Vecchi. Optimization by Simulated Annealing. Science, 220: 671-680, 1983.
    • (1983) Science , vol.220 , pp. 671-680
    • Kirkpatrick, S.1    Gelatt, C.D.2    Vecchi, M.P.3
  • 10
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    • 2 Monte Carlo: The Marginal Particle Filter. In UAI, 2005.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.