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Volumn , Issue , 2002, Pages 825-832

Manifold Parzen Windows

Author keywords

[No Author keywords available]

Indexed keywords

INVARIANCE; LEARNING ALGORITHMS;

EID: 85073261576     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (19)

References (18)
  • 1
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    • K-local hyperplane and convex distance nearest neighbor algorithms
    • T.G. Dietterich, S. Becker, and Z. Ghahramani, editors, The MIT Press
    • P. Vincent and Y. Bengio. K-local hyperplane and convex distance nearest neighbor algorithms. In T.G. Dietterich, S. Becker, and Z. Ghahramani, editors, Advances in Neural Information Processing Systems, volume 14. The MIT Press, 2002.
    • (2002) Advances in Neural Information Processing Systems , vol.14
    • Vincent, P.1    Bengio, Y.2
  • 2
    • 0001473437 scopus 로고
    • On the estimation of a probability density function and mode
    • E. Parzen. On the estimation of a probability density function and mode. Annals of Mathematical Statistics, 33:1064-1076, 1962.
    • (1962) Annals of Mathematical Statistics , vol.33 , pp. 1064-1076
    • Parzen, E.1
  • 3
    • 85153963785 scopus 로고
    • Recognizing handwritten digits using mixtures of linear models
    • G. Tesauro, D.S. Touretzky, and T.K. Leen, editors, pages MIT Press, Cambridge, MA
    • G.E. Hinton, M. Revow, and P. Dayan. Recognizing handwritten digits using mixtures of linear models. In G. Tesauro, D.S. Touretzky, and T.K. Leen, editors, Advances in Neural Information Processing Systems 7, pages 1015-1022. MIT Press, Cambridge, MA, 1995.
    • (1995) Advances in Neural Information Processing Systems , vol.7 , pp. 1015-1022
    • Hinton, G.E.1    Revow, M.2    Dayan, P.3
  • 4
    • 0033556788 scopus 로고    scopus 로고
    • Mixtures of probabilistic principal component analysers
    • M.E. Tipping and C.M. Bishop. Mixtures of probabilistic principal component analysers. Neural Computation, 11(2):443-482, 1999.
    • (1999) Neural Computation , vol.11 , Issue.2 , pp. 443-482
    • Tipping, M.E.1    Bishop, C.M.2
  • 6
    • 84898934543 scopus 로고    scopus 로고
    • Variational inference for Bayesian mixtures of factor analysers
    • Cambridge, MA, MIT Press
    • Z. Ghahramani and M. J. Beal. Variational inference for Bayesian mixtures of factor analysers. In Advances in Neural Information Processing Systems 12, Cambridge, MA, 2000. MIT Press.
    • (2000) Advances in Neural Information Processing Systems , vol.12
    • Ghahramani, Z.1    Beal, M. J.2
  • 10
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Dec
    • S. Roweis and L. Saul. Nonlinear dimensionality reduction by locally linear embedding. Science, 290(5500):2323-2326, Dec. 2000.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 11
    • 10944266507 scopus 로고    scopus 로고
    • Automatic alignment of local representations
    • S. Becker, S. Thrun, and K. Obermayer, editors, The MIT Press
    • Y. Whye Teh and S. Roweis. Automatic alignment of local representations. In S. Becker, S. Thrun, and K. Obermayer, editors, Advances in Neural Information Processing Systems, volume 15. The MIT Press, 2003.
    • (2003) Advances in Neural Information Processing Systems , vol.15
    • Whye Teh, Y.1    Roweis, S.2
  • 12
    • 84899009769 scopus 로고    scopus 로고
    • Global versus local approaches to nonlinear dimensionality reduction
    • S. Becker, S. Thrun, and K. Obermayer, editors, The MIT Press
    • V. de Silva and J.B. Tenenbaum. Global versus local approaches to nonlinear dimensionality reduction. In S. Becker, S. Thrun, and K. Obermayer, editors, Advances in Neural Information Processing Systems, volume 15. The MIT Press, 2003.
    • (2003) Advances in Neural Information Processing Systems , vol.15
    • de Silva, V.1    Tenenbaum, J.B.2
  • 13
    • 84898990205 scopus 로고    scopus 로고
    • Charting a manifold
    • S. Becker, S. Thrun, and K. Obermayer, editors, The MIT Press
    • M. Brand. Charting a manifold. In S. Becker, S. Thrun, and K. Obermayer, editors, Advances in Neural Information Processing Systems, volume 15. The MIT Press, 2003.
    • (2003) Advances in Neural Information Processing Systems , vol.15
    • Brand, M.1
  • 14
    • 0019610270 scopus 로고
    • The optimal distance measure for nearest neighbor classification
    • R. D. Short and K. Fukunaga. The optimal distance measure for nearest neighbor classification. IEEE Transactions on Information Theory, 27:622-627, 1981.
    • (1981) IEEE Transactions on Information Theory , vol.27 , pp. 622-627
    • Short, R. D.1    Fukunaga, K.2
  • 15
    • 0025626022 scopus 로고
    • The multi-class measure problem in nearest neighbour discrimination rules
    • J. Myles and D. Hand. The multi-class measure problem in nearest neighbour discrimination rules. Pattern Recognition, 23:1291-1297, 1990.
    • (1990) Pattern Recognition , vol.23 , pp. 1291-1297
    • Myles, J.1    Hand, D.2
  • 17
    • 85156250913 scopus 로고    scopus 로고
    • Discriminant adaptive nearest neighbor classification and regression
    • David S. Touretzky, Michael C. Mozer, and Michael E. Hasselmo, editors, pages The MIT Press
    • T. Hastie and R. Tibshirani. Discriminant adaptive nearest neighbor classification and regression. In David S. Touretzky, Michael C. Mozer, and Michael E. Hasselmo, editors, Advances in Neural Information Processing Systems, volume 8, pages 409-415. The MIT Press, 1996.
    • (1996) Advances in Neural Information Processing Systems , vol.8 , pp. 409-415
    • Hastie, T.1    Tibshirani, R.2
  • 18
    • 84950426173 scopus 로고
    • Recent developments in nonparametric density estimation
    • A.J. Inzenman. Recent developments in nonparametric density estimation. Journal of the American Statistical Association, 86(413):205-224, 1991.
    • (1991) Journal of the American Statistical Association , vol.86 , Issue.413 , pp. 205-224
    • Inzenman, A.J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.