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Volumn , Issue , 2013, Pages

Probabilistic principal geodesic analysis

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; BRAIN MAPPING; EQUIVALENCE CLASSES; MAXIMUM LIKELIHOOD ESTIMATION; MONTE CARLO METHODS;

EID: 84899029436     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (86)

References (25)
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    • Bhattacharya, A.1    Dunson, D.B.2
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    • 84892510726 scopus 로고    scopus 로고
    • Geodesic regression and the theory of least squares on Riemannian manifolds
    • P. T. Fletcher. Geodesic regression and the theory of least squares on Riemannian manifolds. International Journal of Computer Vision, pages 1-15, 2012.
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    • Fletcher, P.T.1
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    • 33745954917 scopus 로고    scopus 로고
    • Principal component analysis for Riemannian manifolds, with an application to triangular shape spaces
    • S. Huckemann and H. Ziezold. Principal component analysis for Riemannian manifolds, with an application to triangular shape spaces. Advances in Applied Probability, 38(2):299-319, 2006.
    • (2006) Advances in Applied Probability , vol.38 , Issue.2 , pp. 299-319
    • Huckemann, S.1    Ziezold, H.2
  • 13
    • 84865489046 scopus 로고    scopus 로고
    • Analysis of principal nested spheres
    • S. Jung, I. L. Dryden, and J. S. Marron. Analysis of principal nested spheres. Biometrika, 99(3):551-568, 2012.
    • (2012) Biometrika , vol.99 , Issue.3 , pp. 551-568
    • Jung, S.1    Dryden, I.L.2    Marron, J.S.3
  • 14
    • 0002432238 scopus 로고
    • Shape manifolds procrustean metrics and complex projective spaces
    • D. G. Kendall. Shape manifolds, Procrustean metrics, and complex projective spaces. Bulletin of the London Mathematical Society, 16:18-121, 1984.
    • (1984) Bulletin of the London Mathematical Society , vol.16 , pp. 18-121
    • Kendall, D.G.1
  • 15
    • 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. Advances in neural information processing systems, 16:329-336, 2004.
    • (2004) Advances in Neural Information Processing Systems , vol.16 , pp. 329-336
    • Lawrence, N.D.1
  • 17
    • 33749642835 scopus 로고    scopus 로고
    • Intrinsic statistics on Riemannian manifolds: Basic tools for geometric measurements
    • X. Pennec. Intrinsic statistics on Riemannian manifolds: basic tools for geometric measurements. Journal of Mathematical Imaging and Vision, 25(1), 2006.
    • (2006) Journal of Mathematical Imaging and Vision , vol.25 , Issue.1
    • Pennec, X.1
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    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Schölkopf, A. Smola, and K. R. Müller. Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10(5):1299-1319, 1998.
    • (1998) Neural Computation , vol.10 , Issue.5 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.2    Müller, K.R.3
  • 25
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    • Bayesian estimation of regularization and atlas building in diffeomorphic image registration
    • Springer
    • M. Zhang, N. Singh, and P. T. Fletcher. Bayesian estimation of regularization and atlas building in diffeomorphic image registration. In Information Processing in Medical Imaging, pages 37-48. Springer, 2013.
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    • Zhang, M.1    Singh, N.2    Fletcher, P.T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.