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Volumn , Issue , 2012, Pages

Extracting the informative constraints for semi-supervised marginal projections in multimodal dimensionality reduction

Author keywords

dimensionality reduction; face recognition; marginal projections; pairwise constraints; semi supervised learning

Indexed keywords

BENCH-MARK PROBLEMS; DIMENSIONALITY REDUCTION; EIGEN DECOMPOSITION; GLOBAL STRUCTURE; LEARNING PERFORMANCE; MARGINAL PROJECTIONS; MULTI-MODAL; PAIRWISE CONSTRAINTS; RANDOM CONSTRAINTS; SELECTION METHODS; SEMI-SUPERVISED; SEMI-SUPERVISED ALGORITHM; SEMI-SUPERVISED LEARNING; SUPERVISED ALGORITHM;

EID: 84865105435     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2012.6252838     Document Type: Conference Paper
Times cited : (1)

References (23)
  • 2
    • 77952423823 scopus 로고    scopus 로고
    • Semi-supervised local Fisher discriminant analysis for dimensionality reduction
    • Sugiyama, M., Idé, T., Nakajima, S., Sese, J. Semi-supervised local Fisher discriminant analysis for dimensionality reduction. Machine Learning, 2010, 78(1-2):35-61.
    • (2010) Machine Learning , vol.78 , Issue.1-2 , pp. 35-61
    • Sugiyama, M.1    Idé, T.2    Nakajima, S.3    Sese, J.4
  • 3
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • Belkin, M., Niyogi, P. Laplacian eigenmaps for dimensionality reduction and data representation. Neural Computation, 2003, 15(6):1373-1396.
    • (2003) Neural Computation , vol.15 , Issue.6 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 4
    • 33746600649 scopus 로고    scopus 로고
    • Reducing the dimensionality of data with neural networks
    • Hinton, G. E., Salakhutdinov R. R. Reducing the dimensionality of data with neural networks. Science, 2006, 313(5786):504-507.
    • (2006) Science , vol.313 , Issue.5786 , pp. 504-507
    • Hinton, G.E.1    Salakhutdinov, R.R.2
  • 6
    • 33144458972 scopus 로고    scopus 로고
    • Efficient and robust feature extraction by maximum margin criterion
    • Li, H., Jiang, T., and Zhang, K. Efficient and Robust Feature Extraction by Maximum Margin Criterion. IEEE Trans. on Neural Networks, 2006, 17(1):157-165.
    • (2006) IEEE Trans. on Neural Networks , vol.17 , Issue.1 , pp. 157-165
    • Li, H.1    Jiang, T.2    Zhang, K.3
  • 9
    • 49049111209 scopus 로고    scopus 로고
    • Semi-supervised discriminant analysis
    • Rio de Janeiro, Brazil
    • Cai, D., He, X. F., Han, J. Semi-supervised discriminant analysis. In: Proceedings of ICCV 2007, Rio de Janeiro, Brazil, pp.1-7.
    • Proceedings of ICCV 2007 , pp. 1-7
    • Cai, D.1    He, X.F.2    Han, J.3
  • 10
    • 44649132677 scopus 로고    scopus 로고
    • A unified framework for semi-supervised dimensionality reduction
    • Song, Y. Q., Nie, F. P. Zhang, C. S., Xiang, S. M. A unified framework for semi-supervised dimensionality reduction. Pattern Recognition, 2008, 41(9):2789-2799.
    • (2008) Pattern Recognition , vol.41 , Issue.9 , pp. 2789-2799
    • Song, Y.Q.1    Nie, F.P.2    Zhang, C.S.3    Xiang, S.M.4
  • 11
    • 0001576029 scopus 로고    scopus 로고
    • Characterizing virtual eigensignatures for general purpose face recognition
    • volume 163 of NATO ASI Series F, Computer and Systems Sciences
    • Graham, D. B., Allinson, N. M. Characterizing virtual eigensignatures for general purpose face recognition. Face Recognition: from Theory to Applications, volume 163 of NATO ASI Series F, Computer and Systems Sciences, 1998, pp.446-456.
    • (1998) Face Recognition: From Theory to Applications , pp. 446-456
    • Graham, D.B.1    Allinson, N.M.2
  • 12
    • 77949265725 scopus 로고    scopus 로고
    • Semi-supervised metric learning using pairwise constraints
    • Baghshah, M. S., Shouraki, S. B. Semi-Supervised Metric Learning Using Pairwise Constraints. In: IJCAI 2009, pp.1217-1222.
    • IJCAI 2009 , pp. 1217-1222
    • Baghshah, M.S.1    Shouraki, S.B.2
  • 13
    • 38349093039 scopus 로고    scopus 로고
    • Constraint score: A new filter method for feature selection with pairwise constraints
    • Zhang, D. Q., Chen, S. C., Zhou, Z. H. Constraint score: A new filter method for feature selection with pairwise constraints. Pattern Recognition, 2008, 41(5):1440-1451.
    • (2008) Pattern Recognition , vol.41 , Issue.5 , pp. 1440-1451
    • Zhang, D.Q.1    Chen, S.C.2    Zhou, Z.H.3
  • 14
    • 76749107911 scopus 로고    scopus 로고
    • Bagging Constraint Score for feature selection with pairwise constraints
    • Sun, D., Zhang, D. Q. Bagging Constraint Score for feature selection with pairwise constraints. Pattern Recognition, 2010, 43:2106-2118.
    • (2010) Pattern Recognition , vol.43 , pp. 2106-2118
    • Sun, D.1    Zhang, D.Q.2
  • 15
    • 84879571292 scopus 로고    scopus 로고
    • Distance metric learning with application to clustering with side-information
    • MIT Press, Cambridge, MA
    • Xing, E.P. Ng, A.Y., Jordan, M.I., Russell, S. Distance metric learning with application to clustering with side-information. In: Proceedings of NIPS 15, MIT Press, Cambridge, MA, 2003, pp.505-512.
    • (2003) Proceedings of NIPS , vol.15 , pp. 505-512
    • Xing, E.P.1    Ng, A.Y.2    Jordan, M.I.3    Russell, S.4
  • 18
    • 80054748404 scopus 로고    scopus 로고
    • ITR-Score algorithm: An efficient Trace ratio criterion based algorithm for supervised dimensionality reduction
    • San Jose, CA
    • Zhao, M. B., Zhang, Z., Chow, W. S. T. ITR-Score algorithm: An efficient Trace ratio criterion based algorithm for supervised dimensionality reduction. In: IJCNN 2011, San Jose, CA, pp.145-152.
    • (2011) IJCNN , pp. 145-152
    • Zhao, M.B.1    Zhang, Z.2    Chow, W.S.T.3
  • 19
    • 0034300875 scopus 로고    scopus 로고
    • A new LDA-based face recognition system which can solve the small sample size problem
    • Chen, L., Liao, H., Ko, M., Lin, J., Yu, G. A new LDA-based face recognition system which can solve the small sample size problem. Pattern Recognition, 2000, 33(10):1713-1726.
    • (2000) Pattern Recognition , vol.33 , Issue.10 , pp. 1713-1726
    • Chen, L.1    Liao, H.2    Ko, M.3    Lin, J.4    Yu, G.5
  • 20
    • 35148833127 scopus 로고    scopus 로고
    • Integrating global and local structures: A least squares framework for dimensionality reduction
    • Chen, J., Ye, J., Li, Q. Integrating global and local structures: a least squares framework for dimensionality reduction. In: CVPR 2007.
    • (2007) CVPR
    • Chen, J.1    Ye, J.2    Li, Q.3
  • 21
    • 34249086815 scopus 로고    scopus 로고
    • Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis
    • Sugiyama, M. Dimensionality reduction of multimodal labeled data by local fisher discriminant analysis. Journal of Machine Learning Research, 2007, 8:1027-1061.
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 1027-1061
    • Sugiyama, M.1
  • 22
    • 0003554146 scopus 로고
    • The MathWorks Inc.
    • MATLAB, User's Guide, The MathWorks, Inc., 1994-2001, http://www.mathworks.com.
    • (1994) MATLAB User's Guide
  • 23
    • 14644420142 scopus 로고    scopus 로고
    • Face recognition based multi-class mapping of Fisher scores
    • Chen, L., Man, H., Nefian, A. V. Face recognition based multi-class mapping of Fisher scores. Pattern Recognition, 2005, 38:799-811.
    • (2005) Pattern Recognition , vol.38 , pp. 799-811
    • Chen, L.1    Man, H.2    Nefian, A.V.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.