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Volumn , Issue , 2008, Pages 41-48

Comparing GPLVM approaches for dimensionality reduction in character animation

Author keywords

B GPDM; Character animation; Degrees of freedom; Dimensionality reduction; Gaussian process; GPDM; GPLVM; Nonlinear transform; PCA; SGPLVM

Indexed keywords

B-GPDM; CHARACTER ANIMATION; DIMENSIONALITY REDUCTION; GAUSSIAN PROCESSES; GPDM; GPLVM; NONLINEAR TRANSFORMS; PCA; SGPLVM;

EID: 79960376095     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (11)
  • 2
    • 58149421595 scopus 로고    scopus 로고
    • Analysis of a complex of statistical variables into principal components
    • 498-520
    • Hotelling, H., Analysis of a complex of statistical variables into principal components, Journal of Educational Psychology, vol.24, pp. 417-441, 498-520
    • Journal of Educational Psychology , vol.24 , pp. 417-441
    • Hotelling, H.1
  • 4
    • 84898980901 scopus 로고    scopus 로고
    • Gaussian process latent variable models for visualisation of high dimensional data
    • Lawrence, N.D., Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data, Proc. of NIPS 2003, 2004.
    • (2004) Proc. of NIPS 2003
    • Lawrence, N.D.1
  • 5
    • 27844605876 scopus 로고    scopus 로고
    • Probabilistic non-linear principal component analysis with Gaussian process latent variable models
    • Lawrence, N.D., Probabilistic non-linear principal component analysis with Gaussian process latent variable models, Journal of Machine Learning Research, vol. 6, pp. 1783-1816, 2005.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 1783-1816
    • Lawrence, N.D.1
  • 7
    • 0000325341 scopus 로고
    • On lines and planes of closest fit to systems of points in space
    • Pearson, K., On Lines and Planes of Closest Fit to Systems of Points in Space, Philosophical Magazine, vol.2, no.6, pp. 559-572, 1901.
    • (1901) Philosophical Magazine , vol.2 , Issue.6 , pp. 559-572
    • Pearson, K.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.