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Volumn , Issue , 2006, Pages 413-418

A Gaussian Process Latent Variable Model formulation of Canonical Correlation Analysis

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION METHODS; GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); NEURAL NETWORKS;

EID: 85014447230     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (10)

References (9)
  • 1
    • 84898980901 scopus 로고    scopus 로고
    • Gaussian process latent variable models for visualization of high dimensional data
    • N. D. Lawrence. Gaussian process latent variable models for visualization of high dimensional data. Proc, NIPS 16, 2004.
    • (2004) Proc, NIPS , vol.16
    • Lawrence, N.D.1
  • 2
    • 27844605876 scopus 로고    scopus 로고
    • Probabilistic non-linear principal component analysis with Gaussian process latent variable models
    • 2005
    • N. D. Lawrence. Probabilistic non-linear principal component analysis with gaussian process latent variable models. Journal of Machine Learning Research, 6(2005):1783-1816, 2005.
    • (2005) Journal of Machine Learning Research , vol.6 , pp. 1783-1816
    • Lawrence, N.D.1
  • 3
    • 0012479268 scopus 로고    scopus 로고
    • Latent variable models
    • M. I. Jordan ed
    • C.M. Bishop. Latent variable models. In M. I. Jordan (ed.), Learning in Graphical Models, pages 371-403, 1999.
    • (1999) Learning in Graphical Models , pp. 371-403
    • Bishop, C.M.1
  • 5
    • 0000107975 scopus 로고
    • Relations between two sets of variates
    • H. Hotelling. Relations between two sets of variates. Biometrika, (28):312-377, 1936.
    • (1936) Biometrika , Issue.28 , pp. 312-377
    • Hotelling, H.1
  • 7
    • 0003520380 scopus 로고    scopus 로고
    • Technical Report NCRG/97/010, Neural Computing Research Group, Aston University
    • M. Tipping and C. Bishop. Probabilistic principal component analysis. Technical Report NCRG/97/010, Neural Computing Research Group, Aston University, 1997.
    • (1997) Probabilistic Principal Component Analysis
    • Tipping, M.1    Bishop, C.2
  • 9
    • 0034304404 scopus 로고    scopus 로고
    • Kernel and nonlinear canonical correlation analysis
    • Pei Ling Lai and C. Fyfe. Kernel and nonlinear canonical correlation analysis. International Journal of Neural Systems, 10(5):365-377, 2000.
    • (2000) International Journal of Neural Systems , vol.10 , Issue.5 , pp. 365-377
    • Lai, P.L.1    Fyfe, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.