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Volumn 227, Issue , 2007, Pages 481-488

Hierarchical Gaussian process latent variable models

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL COMPLEXITY; DYNAMIC MODELS; GAUSSIAN DISTRIBUTION; HIERARCHICAL SYSTEMS; PROBABILISTIC LOGICS;

EID: 34547977917     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1273496.1273557     Document Type: Conference Paper
Times cited : (131)

References (24)
  • 9
    • 33745939723 scopus 로고    scopus 로고
    • Beyond trees: Common-factor models for 2D human pose recovery
    • Bejing, China: IEEE Computer Society Press
    • Lan, X., & Huttenlocher, D. P. (2005). Beyond trees: Common-factor models for 2D human pose recovery. IEEE International Conference on Computer Vision (ICCV) (pp. 470-477). Bejing, China: IEEE Computer Society Press.
    • (2005) IEEE International Conference on Computer Vision (ICCV) , pp. 470-477
    • Lan, X.1    Huttenlocher, D.P.2
  • 10
    • 84898980901 scopus 로고    scopus 로고
    • Gaussian process models for visualisation of high dimensional data
    • Cambridge, MA: MIT Press
    • Lawrence, N. D. (2004). Gaussian process models for visualisation of high dimensional data. Advances in Neural Information Processing Systems (pp. 329-336). Cambridge, MA: MIT Press.
    • (2004) Advances in Neural Information Processing Systems , pp. 329-336
    • Lawrence, N.D.1
  • 11
    • 27844605876 scopus 로고    scopus 로고
    • Probabilistic non-linear principal component analysis with Gaussian process latent variable models
    • Lawrence, N. D. (2005). Probabilistic non-linear principal component analysis with Gaussian process latent variable models. Journal of Machine Learning Research, 6, 1783-1816.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 1783-1816
    • Lawrence, N.D.1
  • 14
    • 34547965212 scopus 로고    scopus 로고
    • MacKay, D. J. C. (1998). Introduction to Gaussian Processes. In C M. Bishop (Ed.), Neural networks and machine learning, 168 of Series F: Computer and Systems Sciences, 133-166. Berlin: Springer-Verlag.
    • MacKay, D. J. C. (1998). Introduction to Gaussian Processes. In C M. Bishop (Ed.), Neural networks and machine learning, vol. 168 of Series F: Computer and Systems Sciences, 133-166. Berlin: Springer-Verlag.
  • 19
    • 0036565797 scopus 로고    scopus 로고
    • Hierarchical gtm: Constructing localized nonlinear projection manifolds in a principled way
    • Tino, P., & Nabney, I. T. (2002). Hierarchical gtm: Constructing localized nonlinear projection manifolds in a principled way. IEEE Transactions on Pattern Analysis and Machine Intelligence, 24, 639-656.
    • (2002) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.24 , pp. 639-656
    • Tino, P.1    Nabney, I.T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.