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Volumn 148, Issue , 2006, Pages 513-520

Local distance preservation in the GP-LVM through back constraints

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; DATA STRUCTURES; MAPPING;

EID: 34250702177     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1143844.1143909     Document Type: Conference Paper
Times cited : (80)

References (22)
  • 5
    • 0029652445 scopus 로고
    • The wake-sleep algorithm for unsupervised neural networks
    • Hinton, G. E., Dayan, P., Frey, B. J., & Neal, R. M. (1995). The wake-sleep algorithm for unsupervised neural networks. Science, 268, 1158-1161.
    • (1995) Science , vol.268 , pp. 1158-1161
    • Hinton, G.E.1    Dayan, P.2    Frey, B.J.3    Neal, R.M.4
  • 7
    • 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
  • 8
    • 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
  • 9
    • 0030556435 scopus 로고    scopus 로고
    • Feed-forward neural networks and topographic mappings for exploratory data analysis
    • Lowe, D., & Tipping, M. E. (1996). Feed-forward neural networks and topographic mappings for exploratory data analysis. Neural Computing and Applications, 4.
    • (1996) Neural Computing and Applications , vol.4
    • Lowe, D.1    Tipping, M.E.2
  • 12
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Roweis, S. T., & Saul, L. K. (2000). Nonlinear dimensionality reduction by locally linear embedding. Science, 290, 2323-2326.
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 13
    • 84887006810 scopus 로고
    • A nonlinear mapping for data structure analysis
    • Sammon, J. W. (1969). A nonlinear mapping for data structure analysis. IEEE Transactions on Computers, C-18, 401-409.
    • (1969) IEEE Transactions on Computers , vol.C-18 , pp. 401-409
    • Sammon, J.W.1
  • 14
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Schölkopf, B., Smola, A., & Müller, K.-R. (1998). Nonlinear component analysis as a kernel eigenvalue problem. Neural Computation, 10, 1299-1319.
    • (1998) Neural Computation , vol.10 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.2    Müller, K.-R.3
  • 16
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Tenenbaum, J. B., Silva, V. d., & Langford, J. C. (2000). A global geometric framework for nonlinear dimensionality reduction. Science, 290, 2319-2323.
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.B.1    Silva, V.D.2    Langford, J.C.3
  • 21
    • 0002003773 scopus 로고    scopus 로고
    • Weiss, Y, Schölkopf, B, & Platt, J. C, Eds, Cambridge, MA: MIT Press
    • Weiss, Y., Schölkopf, B., & Platt, J. C. (Eds.). (2006). Advances in neural information processing systems, vol. 18. Cambridge, MA: MIT Press.
    • (2006) Advances in neural information processing systems , vol.18


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.