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Volumn 227, Issue , 2007, Pages

Discriminative Gaussian process latent variable model for classification

Author keywords

[No Author keywords available]

Indexed keywords

DISCRIMINANT ANALYSIS; GAUSSIAN DISTRIBUTION; LEARNING ALGORITHMS; PROBLEM SOLVING;

EID: 34548028749     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1273496.1273613     Document Type: Conference Paper
Times cited : (83)

References (14)
  • 5
    • 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 (NIPS). Cambridge, MA: MIT Press.
    • (2004) Advances in Neural Information Processing Systems (NIPS)
    • Lawrence, N.D.1
  • 8
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Roweis, S., & Saul, L. (2000). Nonlinear dimensionality reduction by locally linear embedding. Science, 290, 2323-2326.
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 10
    • 33749237332 scopus 로고    scopus 로고
    • Local fisher discriminant analysis for supervised dimensionality reduction
    • Sugiyama, M. (2006). Local fisher discriminant analysis for supervised dimensionality reduction. International Conference in Machine Learning.
    • (2006) International Conference in Machine Learning
    • Sugiyama, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.