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Volumn 2014-January, Issue January, 2014, Pages 1997-2002

Non-linear neighborhood component analysis based on constructive neural networks

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CYBERNETICS; LINEAR TRANSFORMATIONS; MATHEMATICAL TRANSFORMATIONS; METADATA; NEAREST NEIGHBOR SEARCH; NEURAL NETWORKS; STOCHASTIC SYSTEMS;

EID: 84938095020     PISSN: 1062922X     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/smc.2014.6974214     Document Type: Conference Paper
Times cited : (3)

References (21)
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  • 3
    • 0000764772 scopus 로고
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    • R. A. Fisher, "The use of multiple measurements in taxonomic problems, " Annals of Eugenics, vol. 7, no. 2, pp. 179-188, 1936.
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    • Fisher, R.A.1
  • 8
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    • Distance metric learning for large margin nearest neighbor classification
    • K. Q. Weinberger and L. K. Saul, "Distance metric learning for large margin nearest neighbor classification, " The Journal of Machine Learning Research, vol. 10, pp. 207-244, 2009.
    • (2009) The Journal of Machine Learning Research , vol.10 , pp. 207-244
    • Weinberger, K.Q.1    Saul, L.K.2
  • 10
    • 2342517502 scopus 로고    scopus 로고
    • Think globally, fit locally: Unsupervised learning of low dimensional manifolds
    • L. K. Saul and S. T. Roweis, "Think globally, fit locally: Unsupervised learning of low dimensional manifolds, " The Journal of Machine Learning Research, vol. 4, pp. 119-155, 2003.
    • (2003) The Journal of Machine Learning Research , vol.4 , pp. 119-155
    • Saul, L.K.1    Roweis, S.T.2
  • 11
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • M. Belkin and P. Niyogi, "Laplacian eigenmaps for dimensionality reduction and data representation, " Neural Computation, vol. 15, no. 6, pp. 1373-1396, 2003.
    • (2003) Neural Computation , vol.15 , Issue.6 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 13
    • 0031146959 scopus 로고    scopus 로고
    • Constructive algorithms for structure learning in feedforward neural networks for regression problems
    • T. Y. Kwok and D. Y. Yeung, "Constructive algorithms for structure learning in feedforward neural networks for regression problems, " IEEE Transactions on Neural Networks, vol. 8, no. 3, pp. 630-645, 1997.
    • (1997) IEEE Transactions on Neural Networks , vol.8 , Issue.3 , pp. 630-645
    • Kwok, T.Y.1    Yeung, D.Y.2
  • 14
    • 84869499003 scopus 로고    scopus 로고
    • Orthogonal least squares algorithm for training cascade neural networks
    • G. Huang, S. Song, and C. Wu, "Orthogonal least squares algorithm for training cascade neural networks, " IEEE Transactions on Circuits and Systems I: Regular Papers, vol. 59, no. 11, pp. 2629-2637, 2012.
    • (2012) IEEE Transactions on Circuits and Systems I: Regular Papers , vol.59 , Issue.11 , pp. 2629-2637
    • Huang, G.1    Song, S.2    Wu, C.3
  • 20
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • J. H. Friedman, "Greedy function approximation: A gradient boosting machine, " Annals of Statistics, pp. 1189-1232, 2001.
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    • Friedman, J.H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.