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Volumn , Issue , 2005, Pages 1441-1448

Gaussian process dynamical models

Author keywords

[No Author keywords available]

Indexed keywords

CLOSED FORM; DYNAMICAL MODEL; GAUSSIAN PROCESS; GAUSSIAN PROCESSES; HUMAN MOTION CAPTURE DATA; MODEL PARAMETERS; NON-PARAMETRIC MODEL; NONLINEAR TIME-SERIES ANALYSIS; OBSERVATION SPACE; SMALL DATA SET;

EID: 84864069214     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (417)

References (15)
  • 2
    • 84899008192 scopus 로고    scopus 로고
    • Learning nonlinear dynamical systems using an em algorithm
    • Z. Ghahramani and S. T. Roweis. Learning nonlinear dynamical systems using an EM algorithm. Proc. NIPS 11, pp. 431-437, 1999.
    • (1999) Proc. NIPS 11 , pp. 431-437
    • Ghahramani, Z.1    Roweis, S.T.2
  • 3
    • 84867040604 scopus 로고    scopus 로고
    • Gaussian process priors with uncertain inputs - Application to multiple-step ahead time series forecasting
    • A. Girard, C. E. Rasmussen, J. G. Candela, and R. Murray-Smith. Gaussian process priors with uncertain inputs - application to multiple-step ahead time series forecasting. Proc. NIPS 15, pp. 529-536, 2003.
    • (2003) Proc. NIPS 15 , pp. 529-536
    • Girard, A.1    Rasmussen, C.E.2    Candela, J.G.3    Murray-Smith, R.4
  • 5
    • 84898980901 scopus 로고    scopus 로고
    • Gaussian process latent variable models for visualisation of high dimensional data
    • N. D. Lawrence. Gaussian process latent variable models for visualisation of high dimensional data. Proc. NIPS 16, 2004.
    • (2004) Proc. NIPS 16
    • Lawrence, N.D.1
  • 6
    • 0036992636 scopus 로고    scopus 로고
    • Interactive control of avatars animated with human motion data
    • July
    • J. Lee, J. Chai, P. S. A. Reitsma, J. K. Hodgins, and N. S. Pollard. Interactive control of avatars animated with human motion data. ACM Trans. Graphics, 21(3):491-500, July 2002.
    • (2002) ACM Trans. Graphics , vol.21 , Issue.3 , pp. 491-500
    • Lee, J.1    Chai, J.2    Reitsma, P.S.A.3    Hodgins, J.K.4    Pollard, N.S.5
  • 11
    • 84898993749 scopus 로고    scopus 로고
    • Learning switching linear models of human motion
    • V. Pavlović, J. M. Rehg, and J. MacCormick. Learning switching linear models of human motion. Proc. NIPS 13, pp. 981-987, 2001.
    • (2001) Proc. NIPS , vol.13 , pp. 981-987
    • Pavlović, V.1    Rehg, J.M.2    MacCormick, J.3
  • 12
    • 84898989885 scopus 로고    scopus 로고
    • Dynamical modeling with kernels for nonlinear time series prediction
    • L. Ralaivola and F. d'Alché-Buc. Dynamical modeling with kernels for nonlinear time series prediction. Proc. NIPS 16, 2004.
    • (2004) Proc. NIPS , vol.16
    • Ralaivola, L.1    D'alché-Buc, F.2
  • 13
    • 84899026055 scopus 로고    scopus 로고
    • Gaussian processes in reinforcement learning
    • C. E. Rasmussen and M. Kuss. Gaussian processes in reinforcement learning. Proc. NIPS 16, 2004.
    • (2004) Proc. NIPS , vol.16
    • Rasmussen, C.E.1    Kuss, M.2
  • 14
    • 0001421277 scopus 로고    scopus 로고
    • Stochastic tracking of 3D human figures using 2D motion
    • H. Sidenbladh, M. J. Black, and D. J. Fleet. Stochastic tracking of 3D human figures using 2D motion. Proc. ECCV, volume 2, pp. 702-718, 2000.
    • (2000) Proc. ECCV , vol.2 , pp. 702-718
    • Sidenbladh, H.1    Black, M.J.2    Fleet, D.J.3
  • 15
    • 84898995949 scopus 로고    scopus 로고
    • Derivative observations in Gaussian process models of dynamic systems
    • E. Solak, R. Murray-Smith, W. Leithead, D. Leith, and C. E. Rasmussen. Derivative observations in Gaussian process models of dynamic systems. Proc. NIPS 15, pp. 1033-1040, 2003.
    • (2003) Proc. NIPS , vol.15 , pp. 1033-1040
    • Solak, E.1    Murray-Smith, R.2    Leithead, W.3    Leith, D.4    Rasmussen, C.E.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.