메뉴 건너뛰기




Volumn , Issue , 2010, Pages

Support-vector conditional density estimation for nonlinear filtering

Author keywords

Conditional density estimation; Nonlinear estimation and filtering; Support vector regression

Indexed keywords

NONLINEAR ANALYSIS; NONLINEAR FILTERING; REGRESSION ANALYSIS; STOCHASTIC SYSTEMS;

EID: 79952421204     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icif.2010.5712088     Document Type: Conference Paper
Times cited : (4)

References (19)
  • 2
    • 21244437999 scopus 로고    scopus 로고
    • Unscented filtering and nonlinear estimation
    • DOI 10.1109/JPROC.2003.823141, Sequential State Estimation: From Kalman Filters to Particles Filters
    • S. Julier and J. Uhlmann, "Unscented Filtering and Nonlinear Estimation," Proceedings of the IEEE, vol. 92, no. 3, pp. 401-422, March 2004. (Pubitemid 40890750)
    • (2004) Proceedings of the IEEE , vol.92 , Issue.3 , pp. 401-422
    • Julier, S.J.1    Uhlmann, J.K.2
  • 7
    • 0003450542 scopus 로고    scopus 로고
    • Statistics for Engineering and Information Science. Springer, New York, 2. edition
    • V. Vapnik, The Nature of Statistical Learning Theory, Statistics for Engineering and Information Science. Springer, New York, 2. edition, 2000.
    • (2000) The Nature of Statistical Learning Theory
    • Vapnik, V.1
  • 10
    • 35348864138 scopus 로고    scopus 로고
    • Closed-form prediction of nonlinear dynamic systems by means of Gaussian mixture approximation of the transition density
    • DOI 10.1109/MFI.2006.265622, 4042039, 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, MFI
    • M. Huber, D. Brunn, and U. D. Hanebeck, "Closed-Form Prediction of Nonlinear Dynamic Systems by Means of Gaussian Mixture Approximation of the Transition Density," in Proceedings of the 2006 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2006), Heidelberg, Germany, September 2006, pp. 98-103. (Pubitemid 351409413)
    • (2006) IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems , pp. 98-103
    • Huber, M.1    Brunn, D.2    Hanebeck, U.D.3
  • 13
    • 36849078684 scopus 로고    scopus 로고
    • Kullback-Leibler approach to Gaussian mixture reduction
    • DOI 10.1109/TAES.2007.4383588
    • A. R. Runnalls, "Kullback-Leibler Approach to Gaussian Mixture Reduction," IEEE Transactions on Aerospace and Electronic Systems, vol. 43, no. 3, pp. 989-999, July 2007. (Pubitemid 350218340)
    • (2007) IEEE Transactions on Aerospace and Electronic Systems , vol.43 , Issue.3 , pp. 989-999
    • Runnalls, A.R.1
  • 14
    • 0000782444 scopus 로고
    • Approximating posterior distributions by mixtures
    • M. West, "Approximating Posterior Distributions by Mixtures," Journal of the Royal Statistical Society: Series B, vol. 55, no. 2, pp. 409-422, 1993.
    • (1993) Journal of the Royal Statistical Society: Series B , vol.55 , Issue.2 , pp. 409-422
    • West, M.1
  • 17
  • 19
    • 0030304310 scopus 로고    scopus 로고
    • Monte Carlo filter and smoother for non-gaussian nonlinear state space models
    • G. Kitagawa, "Monte Carlo Filter and Smoother for non-Gaussian Nonlinear State Space Models," Journal of Computational and Graphical Statistics, vol. 5, no. 1, pp. 1-25, 1996.
    • (1996) Journal of Computational and Graphical Statistics , vol.5 , Issue.1 , pp. 1-25
    • Kitagawa, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.