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Volumn 23, Issue 12, 2012, Pages 1948-1960

Sparse approximation to the eigensubspace for discrimination

Author keywords

Elastic net; face recognition; feature extraction; manifold learning; sparse subspace

Indexed keywords

COMPETITIVE PERFORMANCE; ELASTIC NET; FEATURE EXTRACTION METHODS; IMAGE FEATURE EXTRACTIONS; MANIFOLD LEARNING; SPARSE APPROXIMATIONS; SPARSE SUBSPACE; TWO DIMENSIONAL (2 D);

EID: 84876523860     PISSN: 2162237X     EISSN: 21622388     Source Type: Journal    
DOI: 10.1109/TNNLS.2012.2217154     Document Type: Article
Times cited : (58)

References (47)
  • 4
    • 0035248924 scopus 로고    scopus 로고
    • Principal components analysis versus linear discriminant analysis
    • Feb
    • A. M. Martinez and A. C. Kak, "Principal components analysis versus linear discriminant analysis," IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 2, pp. 228-233, Feb. 2001.
    • (2001) IEEE Trans. Pattern Anal. Mach. Intell , vol.23 , Issue.2 , pp. 228-233
    • Martinez, A.M.1    Kak, A.C.2
  • 5
    • 0031185845 scopus 로고    scopus 로고
    • Eigenfaces versus fisherfaces: Recognition using class specific linear projection
    • Jul
    • P. N. Belhumeur, J. P. Hespanha, and D. J. Kriengman, "Eigenfaces versus fisherfaces: Recognition using class specific linear projection," IEEE Trans. Pattern Anal. Mach. Intell., vol. 19, no. 7, pp. 711-720, Jul. 1997.
    • (1997) IEEE Trans. Pattern Anal. Mach. Intell , vol.19 , Issue.7 , pp. 711-720
    • Belhumeur, P.N.1    Hespanha, J.P.2    Kriengman, D.J.3
  • 6
    • 0742268833 scopus 로고    scopus 로고
    • Two-dimensional principal components analysis: A new approach to appearance-based face representation and recognition
    • Jan
    • J. Yang, D. Zhang, A. F. Frangi, and J. Y. Yang, "Two-dimensional principal components analysis: A new approach to appearance-based face representation and recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 26, no. 1, pp. 131-137, Jan. 2004.
    • (2004) IEEE Trans. Pattern Anal. Mach. Intell , vol.26 , Issue.1 , pp. 131-137
    • Yang, J.1    Zhang, D.2    Frangi, A.F.3    Yang, J.Y.4
  • 7
    • 44649124427 scopus 로고    scopus 로고
    • An approach for directly extracting features from matrix data and its application in face recognition
    • Y. Xu, D. Zhang, J. Yang, and J. Yang, "An approach for directly extracting features from matrix data and its application in face recognition," Neurocomputing, vol. 71, nos. 10-12, pp. 1857-1865, 2008.
    • (2008) Neurocomputing , vol.71 , Issue.10-12 , pp. 1857-1865
    • Xu, Y.1    Zhang, D.2    Yang, J.3    Yang, J.4
  • 8
    • 33746804077 scopus 로고    scopus 로고
    • Bidirectional principal components analysis with assembled matrix distance metric for image recognition
    • Aug
    • W. Zuo, D. Zhang, and K. Wang, "Bidirectional principal components analysis with assembled matrix distance metric for image recognition," IEEE Trans. Syst., Man, Cybern., B, vol. 36, no. 4, pp. 863-872, Aug. 2006.
    • (2006) IEEE Trans. Syst., Man, Cybern., B , vol.36 , Issue.4 , pp. 863-872
    • Zuo, W.1    Zhang, D.2    Wang, K.3
  • 9
    • 30044447599 scopus 로고    scopus 로고
    • Generalized low rank approximations of matrices
    • J. Ye, "Generalized low rank approximations of matrices," Mach. Learn., vol. 61, no. 1, pp. 167-191, 2005.
    • (2005) Mach. Learn , vol.61 , Issue.1 , pp. 167-191
    • Ye, J.1
  • 10
    • 14644408830 scopus 로고    scopus 로고
    • 2D-LDA: A statistical linear discriminant analysis for image matrix
    • M. Li and B. Yuan, "2D-LDA: A statistical linear discriminant analysis for image matrix," Pattern Recognit. Lett., vol. 26, no. 5, pp. 527-532, 2005.
    • (2005) Pattern Recognit. Lett , vol.26 , Issue.5 , pp. 527-532
    • Li, M.1    Yuan, B.2
  • 13
    • 79960144400 scopus 로고    scopus 로고
    • Local linear discriminant analysis framework using sample neighbors
    • Jul.
    • Z. Fan, Y. Xu, and D. Zhang, "Local linear discriminant analysis framework using sample neighbors," IEEE Trans. Neural Netw., vol. 22, no. 7, pp. 1119-1132, Jul. 2011.
    • (2011) IEEE Trans. Neural Netw , vol.22 , Issue.7 , pp. 1119-1132
    • Fan, Z.1    Xu, Y.2    Zhang, D.3
  • 15
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Dec
    • J. B. Tenenbaum, V. DeSilva, and J. C. Langford, "A global geometric framework for nonlinear dimensionality reduction," Science, vol. 290, pp. 2319-2323, Dec. 2000.
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.B.1    Desilva, V.2    Langford, J.C.3
  • 16
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Dec
    • S. T. Roweis and L. K. Saul, "Nonlinear dimensionality reduction by locally linear embedding," Science, vol. 290, pp. 2323-2326, Dec. 2000.
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 17
    • 0043278893 scopus 로고    scopus 로고
    • Laplacian eigenmaps and spectral techniques for embedding and clustering
    • Cambridge, MA: MIT Press
    • M. Belkin and P. Niyogi, "Laplacian eigenmaps and spectral techniques for embedding and clustering," in Advances in Neural Information Processing Systems 14. Cambridge, MA: MIT Press, 2001, pp. 589-591.
    • (2001) Advances in Neural Information Processing Systems , vol.14 , pp. 589-591
    • Belkin, M.1    Niyogi, P.2
  • 18
    • 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 Comput., vol. 15, no. 6, pp. 1373-1396, 2003.
    • (2003) Neural Comput , vol.15 , Issue.6 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 19
    • 78651299749 scopus 로고    scopus 로고
    • Super-resolution method for face recognition using nonlinear mappings on coherent features
    • Jan.
    • H. Huang and H. He, "Super-resolution method for face recognition using nonlinear mappings on coherent features," IEEE Trans. Neural Netw., vol. 22, no. 1, pp. 121-130, Jan. 2011.
    • (2011) IEEE Trans. Neural Netw , vol.22 , Issue.1 , pp. 121-130
    • Huang, H.1    He, H.2
  • 20
    • 84868032803 scopus 로고    scopus 로고
    • Regularized kernel discriminant analysis with a robust kernel for face recognition and verification
    • Mar.
    • S. Zafeiriou, G. Tzimiropoulos, M. Petrou, and T. Stathaki, "Regularized kernel discriminant analysis with a robust kernel for face recognition and verification," IEEE Trans. Neural Netw. Learn. Syst., vol. 23, no. 3, pp. 526-534, Mar. 2012.
    • (2012) IEEE Trans. Neural Netw. Learn. Syst , vol.23 , Issue.3 , pp. 526-534
    • Zafeiriou, S.1    Tzimiropoulos, G.2    Petrou, M.3    Stathaki, T.4
  • 21
    • 77957019256 scopus 로고    scopus 로고
    • A novel local preserving projection scheme for use with face recognition
    • Y. Xu, F. Song, F. Ge, and Y. Zhao, "A novel local preserving projection scheme for use with face recognition," Expert Syst. Appl., vol. 37, no. 9, pp. 6718-6721, 2011.
    • (2011) Expert Syst. Appl , vol.37 , Issue.9 , pp. 6718-6721
    • Xu, Y.1    Song, F.2    Ge, F.3    Zhao, Y.4
  • 25
    • 45549087497 scopus 로고    scopus 로고
    • Two-dimensional laplacianfaces method for face recognition
    • B. Niu, Q. Yang, S. C. K. Shiu, and S. K. Pal, "Two-dimensional laplacianfaces method for face recognition," Pattern Recognit., vol. 41, no. 10, pp. 3237-3243, 2008.
    • (2008) Pattern Recognit , vol.41 , Issue.10 , pp. 3237-3243
    • Niu, B.1    Yang, Q.2    Shiu, S.C.K.3    Pal, S.K.4
  • 26
    • 33749252404 scopus 로고    scopus 로고
    • Two-dimensional locality preserving projections with its application to palmprint recognition
    • D. Hu, G. Feng, and Z. Zhou, "Two-dimensional locality preserving projections with its application to palmprint recognition," Pattern Recognit., vol. 40, no. 1, pp. 339-342, 2007.
    • (2007) Pattern Recognit , vol.40 , Issue.1 , pp. 339-342
    • Hu, D.1    Feng, G.2    Zhou, Z.3
  • 27
    • 33846009099 scopus 로고    scopus 로고
    • A two-dimensional extension of locality preserving projections
    • S. Chen, H. Zhao, M. Kong, and B. Luo, "A two-dimensional extension of locality preserving projections," Neurocomputing, vol. 70, nos. 4-6, pp. 912-921, 2007.
    • (2007) Neurocomputing , vol.70 , Issue.4-6 , pp. 912-921
    • Chen, S.1    Zhao, H.2    Kong, M.3    Luo, B.4
  • 28
    • 33847365328 scopus 로고    scopus 로고
    • Facial expression recognition base on twodimensional discriminant locality preserving projections
    • R. Zhi and Q. Ruan, "Facial expression recognition base on twodimensional discriminant locality preserving projections," Eurocomputing, vol. 70, no. 7, pp. 1543-1546, 2007.
    • (2007) Eurocomputing , vol.70 , Issue.7 , pp. 1543-1546
    • Zhi, R.1    Ruan, Q.2
  • 29
    • 70350716315 scopus 로고    scopus 로고
    • Two-dimensional local graph embedding discriminant analysis with its application to face and palm biometrics
    • M. Wan, Z. Lai, J. Shao, and Z. Jin, "Two-dimensional local graph embedding discriminant analysis with its application to face and palm biometrics," Eurocomputing, vol. 73, nos. 1-3, pp. 197-203, 2009.
    • (2009) Eurocomputing , vol.73 , Issue.1-3 , pp. 197-203
    • Wan, M.1    Lai, Z.2    Shao, J.3    Jin, Z.4
  • 30
    • 70350741199 scopus 로고    scopus 로고
    • One improvement to two-dimensional locality preserving projection method for use with face recognition
    • Y. Xu, G. Feng, and Y. Zhao, "One improvement to two-dimensional locality preserving projection method for use with face recognition," Neurocomputing, vol. 73, nos. 1-3, pp. 245-249, 2009.
    • (2009) Neurocomputing , vol.73 , Issue.1-3 , pp. 245-249
    • Xu, Y.1    Feng, G.2    Zhao, Y.3
  • 31
    • 33745309913 scopus 로고    scopus 로고
    • Sparse principal component analysis
    • H. Zou, T. Hastie, and R. Tibshirani, "Sparse principal component analysis," J. Comput. Graph. Stat., vol. 15, no. 2, pp. 265-286, 2006.
    • (2006) J. Comput. Graph. Stat , vol.15 , Issue.2 , pp. 265-286
    • Zou, H.1    Hastie, T.2    Tibshirani, R.3
  • 33
  • 38
    • 61849100967 scopus 로고    scopus 로고
    • Sparse linear discriminant analysis with applications to high dimensional low sample size data
    • Z. Qiao, L. Zhou, and J. Z. Huang, "Sparse linear discriminant analysis with applications to high dimensional low sample size data," Int. Assoc. Eng., J. Appl. Math., vol. 39, no. 1, pp. 48-60, 2010.
    • (2010) Int. Assoc. Eng., J. Appl. Math , vol.39 , Issue.1 , pp. 48-60
    • Qiao, Z.1    Zhou, L.2    Huang, J.Z.3
  • 41
    • 79960810210 scopus 로고    scopus 로고
    • Manifold elastic net: A unified framework for sparse dimension reduction
    • T. Zhou, D. Tao, and X. Wu, "Manifold elastic net: A unified framework for sparse dimension reduction," Data Mining Knowl. Discovery, vol. 22, no. 3, pp. 340-371, 2011.
    • (2011) Data Mining Knowl. Discovery , vol.22 , Issue.3 , pp. 340-371
    • Zhou, T.1    Tao, D.2    Wu, X.3
  • 43
    • 0000565315 scopus 로고    scopus 로고
    • Algorithms for the regularization of ill-conditioned least squares problems
    • L. Elden, "Algorithms for the regularization of ill-conditioned least squares problems," BIT, vol. 17, no. 2, pp. 134-145, 1997.
    • (1997) BIT , vol.17 , Issue.2 , pp. 134-145
    • Elden, L.1
  • 44
    • 31744441014 scopus 로고    scopus 로고
    • On image matrix based feature extraction algorithms
    • Feb
    • L. Wang, X. Wang, and J. Feng, "On image matrix based feature extraction algorithms," IEEE Trans. Syst. Man Cybern. B, vol. 36, no. 1, pp. 194-197, Feb. 2006.
    • (2006) IEEE Trans. Syst. Man Cybern. B , vol.36 , Issue.1 , pp. 194-197
    • Wang, L.1    Wang, X.2    Feng, J.3
  • 47
    • 0347380229 scopus 로고    scopus 로고
    • The CMU pose, illumination, and expression database
    • Dec
    • T. Sim, S. Baker, and M. Bsat, "The CMU pose, illumination, and expression database," IEEE Trans. Pattern Anal. Mach. Intell., vol. 25, no. 12, pp. 1615-1618, Dec. 2003.
    • (2003) IEEE Trans. Pattern Anal. Mach. Intell , vol.25 , Issue.12 , pp. 1615-1618
    • Sim, T.1    Baker, S.2    Bsat, M.3


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