메뉴 건너뛰기




Volumn 43, Issue 3, 2013, Pages 921-934

Exponential local discriminant embedding and its application to face recognition

Author keywords

Discriminant analysis; Face recognition; Feature extraction; Graph based embedding; Local discriminant embedding (LDE); Small sample size (SSS) problem

Indexed keywords

CLASSIFICATION ACCURACY; DIMENSIONALITY REDUCTION; DISCRIMINANT INFORMATIONS; GRAPH-BASED; HIGH DIMENSIONAL DATA; LINEAR DISCRIMINANT ANALYSIS; LOCAL DISCRIMINANT EMBEDDING; SMALL-SAMPLE-SIZE (SSS) PROBLEM;

EID: 84880936263     PISSN: 21682267     EISSN: None     Source Type: Journal    
DOI: 10.1109/TSMCB.2012.2218234     Document Type: Article
Times cited : (75)

References (52)
  • 3
    • 33947194180 scopus 로고    scopus 로고
    • Graph embedding and extension: A general framework for dimensionality reduction
    • Jan.
    • S. Yan, D. Xu, B. Zhang, H. Zhang, Q. Yang, and S. Lin, "Graph embedding and extension: A general framework for dimensionality reduction," IEEE Trans. Pattern Anal. Mach. Intell., vol. 29, no. 1, pp. 40-51, Jan. 2007.
    • (2007) IEEE Trans. Pattern Anal. Mach. Intell. , vol.29 , Issue.1 , pp. 40-51
    • Yan, S.1    Xu, D.2    Zhang, B.3    Zhang, H.4    Yang, Q.5    Lin, S.6
  • 4
    • 68549120964 scopus 로고    scopus 로고
    • Patch alignment for dimensionality reduction
    • Sep.
    • T. Zhang, D. Tao, X. Li, and J. Yang, "Patch alignment for dimensionality reduction," IEEE Trans. Knowl. Data Eng., vol. 21, no. 9, pp. 1299-1313, Sep. 2009.
    • (2009) IEEE Trans. Knowl. Data Eng. , vol.21 , Issue.9 , pp. 1299-1313
    • Zhang, T.1    Tao, D.2    Li, X.3    Yang, J.4
  • 5
  • 6
    • 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, vol. 290, no. 5500, pp. 2323-2326, Dec. 2000.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 7
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eigenmaps for dimensionality reduction and data representation
    • Jun.
    • M. Belkin and P. Niyogi, "Laplacian eigenmaps for dimensionality reduction and data representation," Neural Comput., vol. 15, no. 6, pp. 1373-1396, Jun. 2003.
    • (2003) Neural Comput. , vol.15 , Issue.6 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 8
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Dec.
    • J. B. Tenenbaum, V. de Silva, and J. C. Langford, "A global geometric framework for nonlinear dimensionality reduction," Science, vol. 290, no. 5500, pp. 2319-2323, Dec. 2000.
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3
  • 9
    • 41649120173 scopus 로고    scopus 로고
    • Discriminant locally linear embedding with high-order tensor data
    • Apr.
    • X. Li, S. Lin, S. Yan, and D. Xu, "Discriminant locally linear embedding with high-order tensor data," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 38, no. 2, pp. 342-352, Apr. 2008.
    • (2008) IEEE Trans. Syst., Man, Cybern. B, Cybern. , vol.38 , Issue.2 , pp. 342-352
    • Li, X.1    Lin, S.2    Yan, S.3    Xu, D.4
  • 10
    • 30144436546 scopus 로고    scopus 로고
    • Where are linear feature extraction methods applicable?
    • Dec.
    • A. M. Martinez and M. Zhu, "Where are linear feature extraction methods applicable?" IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 12, pp. 1934-1944, Dec. 2005.
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell. , vol.27 , Issue.12 , pp. 1934-1944
    • Martinez, A.M.1    Zhu, M.2
  • 11
    • 33144458972 scopus 로고    scopus 로고
    • Efficient and robust feature extraction by maximum margin criterion
    • Jan.
    • H. Li, T. Jiang, and K. Zhang, "Efficient and robust feature extraction by maximum margin criterion," IEEE Trans. Neural Netw., vol. 17, no. 1, pp. 157-165, Jan. 2006.
    • (2006) IEEE Trans. Neural Netw. , vol.17 , Issue.1 , pp. 157-165
    • Li, H.1    Jiang, T.2    Zhang, K.3
  • 12
    • 15044364586 scopus 로고    scopus 로고
    • Locally linear discriminant analysis for multimodally distributed classes for face recognition with a single model image
    • Mar.
    • T. Kim and J. Kittler, "Locally linear discriminant analysis for multimodally distributed classes for face recognition with a single model image," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 3, pp. 318-327, Mar. 2005.
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell. , vol.27 , Issue.3 , pp. 318-327
    • Kim, T.1    Kittler, J.2
  • 14
    • 77952551649 scopus 로고    scopus 로고
    • Quotient vs. Difference: Comparison between the two discriminant criteria
    • Jun.
    • Y. Tao and J. Yang, "Quotient vs. difference: Comparison between the two discriminant criteria," Neurocomputing, vol. 18, no. 10-12, pp. 1808-1817, Jun. 2010.
    • (2010) Neurocomputing , vol.18 , Issue.10-12 , pp. 1808-1817
    • Tao, Y.1    Yang, J.2
  • 15
    • 83855162246 scopus 로고    scopus 로고
    • Classifiability-based discriminatory projection pursuit
    • Dec.
    • Y. Su, S. Shan, X. Chen, and W. Gao, "Classifiability-based discriminatory projection pursuit," IEEE Trans. Neural Netw., vol. 22, no. 12, pp. 2050-2061, Dec. 2011.
    • (2011) IEEE Trans. Neural Netw. , vol.22 , Issue.12 , pp. 2050-2061
    • Su, Y.1    Shan, S.2    Chen, X.3    Gao, W.4
  • 16
    • 34547112821 scopus 로고    scopus 로고
    • Face recognition by regularized discriminant analysis
    • Aug.
    • D.-Q. Dai and P. C. Yuen, "Face recognition by regularized discriminant analysis," IEEE Trans. Syst., Man, Cybern. B, Cybern., vol. 37, no. 4, pp. 1080-1085, Aug. 2007.
    • (2007) IEEE Trans. Syst., Man, Cybern. B, Cybern. , vol.37 , Issue.4 , pp. 1080-1085
    • Dai, D.-Q.1    Yuen, P.C.2
  • 17
    • 0037276932 scopus 로고    scopus 로고
    • Face recognition using kernel direct discriminant analysis algorithms
    • Jan.
    • J. Lu, K. Plataniotis, and A. Venetsanopoulos, "Face recognition using kernel direct discriminant analysis algorithms," IEEE Trans. Neural Netw., vol. 14, no. 1, pp. 117-126, Jan. 2003.
    • (2003) IEEE Trans. Neural Netw. , vol.14 , Issue.1 , pp. 117-126
    • Lu, J.1    Plataniotis, K.2    Venetsanopoulos, A.3
  • 18
    • 34249086815 scopus 로고    scopus 로고
    • Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis
    • May
    • M. Sugiyama, "Dimensionality reduction of multimodal labeled data by local Fisher discriminant analysis," J. Mach. Learn. Res., vol. 8, no. 5, pp. 1027-1061, May 2007.
    • (2007) J. Mach. Learn. Res. , vol.8 , Issue.5 , pp. 1027-1061
    • Sugiyama, M.1
  • 22
    • 77957020563 scopus 로고    scopus 로고
    • LPP solution schemes for use with face recognition
    • Dec.
    • Y. Xu, A. Zhong, J. Yang, and D. Zhang, "LPP solution schemes for use with face recognition," Pattern Recognit., vol. 43, no. 12, pp. 4165-4176, Dec. 2010.
    • (2010) Pattern Recognit. , vol.43 , Issue.12 , pp. 4165-4176
    • Xu, Y.1    Zhong, A.2    Yang, J.3    Zhang, D.4
  • 23
  • 24
    • 56849094284 scopus 로고    scopus 로고
    • Locality versus globality: Query-driven localized linear models for facial image computing
    • Dec.
    • Y. Fu, Z. Li, J. Yuan, Y. Wu, and T. S. Huang, "Locality versus globality: Query-driven localized linear models for facial image computing," IEEE Trans. Circuits Syst. Video Technol., vol. 18, no. 12, pp. 1741-1752, Dec. 2008.
    • (2008) IEEE Trans. Circuits Syst. Video Technol. , vol.18 , Issue.12 , pp. 1741-1752
    • Fu, Y.1    Li, Z.2    Yuan, J.3    Wu, Y.4    Huang, T.S.5
  • 25
    • 33644903839 scopus 로고    scopus 로고
    • Face recognition using discriminant locality preserving projections
    • Mar.
    • W. Yu, X. Teng, and C. Liu, "Face recognition using discriminant locality preserving projections," Image Vis. Comput., vol. 24, no. 3, pp. 239-248, Mar. 2006.
    • (2006) Image Vis. Comput. , vol.24 , Issue.3 , pp. 239-248
    • Yu, W.1    Teng, X.2    Liu, C.3
  • 26
    • 80052741081 scopus 로고    scopus 로고
    • Supervised optimal locality preserving projection
    • Jan.
    • W. Wong and H. Zhao, "Supervised optimal locality preserving projection," Pattern Recognit., vol. 45, no. 1, pp. 186-197, Jan. 2012.
    • (2012) Pattern Recognit. , vol.45 , Issue.1 , pp. 186-197
    • Wong, W.1    Zhao, H.2
  • 27
    • 67649403117 scopus 로고    scopus 로고
    • Marginface: A novel face recognition method by average neighborhood margin maximization
    • Nov.
    • F. Wang, X. Wang, D. Zhang, C. Zhang, and T. Li, "Marginface: A novel face recognition method by average neighborhood margin maximization," Pattern Recognit., vol. 42, no. 11, pp. 2863-2875, Nov. 2009.
    • (2009) Pattern Recognit. , vol.42 , Issue.11 , pp. 2863-2875
    • Wang, F.1    Wang, X.2    Zhang, D.3    Zhang, C.4    Li, T.5
  • 30
    • 61749090884 scopus 로고    scopus 로고
    • Distance metric learning for large margin nearest neighbor classification
    • Dec.
    • K. Q. Weinberger and L. K. Saul, "Distance metric learning for large margin nearest neighbor classification," J. Mach. Learn. Res., vol. 10, pp. 207-244, Dec. 2009.
    • (2009) J. Mach. Learn. Res. , vol.10 , pp. 207-244
    • Weinberger, K.Q.1    Saul, L.K.2
  • 31
    • 84879571292 scopus 로고    scopus 로고
    • Distance metric learning with application to clustering with side-information
    • Cambridge, MA: MIT Press
    • E. P. Xing, A. Y. Ng, M. I. Jordan, and S. Russell, "Distance metric learning with application to clustering with side-information," in Advances in Neural Information Processing Systems, vol. 15. Cambridge, MA: MIT Press, 2003, pp. 505-512.
    • (2003) Advances in Neural Information Processing Systems , vol.15 , pp. 505-512
    • Xing, E.P.1    Ng, A.Y.2    Jordan, M.I.3    Russell, S.4
  • 33
    • 84866543172 scopus 로고    scopus 로고
    • Exponential locality preserving projections for small sample size problem
    • Oct.
    • S. Wang, H. Chen, X. Peng, and C. Zhou, "Exponential locality preserving projections for small sample size problem," Neurocomputing, vol. 74, no. 17, pp. 3654-3662, Oct. 2011.
    • (2011) Neurocomputing , vol.74 , Issue.17 , pp. 3654-3662
    • Wang, S.1    Chen, H.2    Peng, X.3    Zhou, C.4
  • 35
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • Jul.
    • B. Schölkopf, A. Smola, and K. Müller, "Nonlinear component analysis as a kernel eigenvalue problem," Neural Comput., vol. 10, no. 5, pp. 1299-1319, Jul. 1998.
    • (1998) Neural Comput. , vol.10 , Issue.5 , pp. 1299-1319
    • Schölkopf, B.1    Smola, A.2    Müller, K.3
  • 37
    • 0034296402 scopus 로고    scopus 로고
    • Generalized discriminant analysis using a kernel approach
    • Oct.
    • G. Baudat and F. Anouar, "Generalized discriminant analysis using a kernel approach," Neural Comput., vol. 12, no. 10, pp. 2385-2404, Oct. 2000.
    • (2000) Neural Comput. , vol.12 , Issue.10 , pp. 2385-2404
    • Baudat, G.1    Anouar, F.2
  • 38
    • 0034300875 scopus 로고    scopus 로고
    • A new LDA-based face recognition system which can solve the small sample size problem
    • Oct.
    • L. Chen, H. Liao, J. Lin, M. Kao, and G. Yu, "A new LDA-based face recognition system which can solve the small sample size problem," Pattern Recognit., vol. 33, no. 10, pp. 1713-1726, Oct. 2000.
    • (2000) Pattern Recognit. , vol.33 , Issue.10 , pp. 1713-1726
    • Chen, L.1    Liao, H.2    Lin, J.3    Kao, M.4    Yu, G.5
  • 39
    • 14544297033 scopus 로고    scopus 로고
    • KPCA plus LDA: A complete kernel Fisher discriminant framework for feature extraction and recognition
    • Feb.
    • J. Yang, A. F. Frangi, D. Z. J.-Y. Yang, and Z. Jin, "KPCA plus LDA: A complete kernel Fisher discriminant framework for feature extraction and recognition," IEEE Trans. Pattern Anal. Mach. Intell., vol. 27, no. 2, pp. 230-244, Feb. 2005.
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell. , vol.27 , Issue.2 , pp. 230-244
    • Yang, J.1    Frangi, A.F.2    Yang, D.Z.J.-Y.3    Jin, Z.4
  • 42
    • 0001765951 scopus 로고    scopus 로고
    • A direct LDA algorithm for high-dimensional data: With application to face recognition
    • Oct.
    • H. Yu and H. Yang, "A direct LDA algorithm for high-dimensional data: With application to face recognition," Pattern Recognit., vol. 34, no. 10, pp. 2067-2070, Oct. 2001.
    • (2001) Pattern Recognit. , vol.34 , Issue.10 , pp. 2067-2070
    • Yu, H.1    Yang, H.2
  • 43
    • 0037354371 scopus 로고    scopus 로고
    • Nineteen dubious ways to compute the exponential of a matrix, twenty-five years later
    • Mar.
    • C. Moler and C. V. Loan, "Nineteen dubious ways to compute the exponential of a matrix, twenty-five years later," SIAM Rev., vol. 45, no. 1, pp. 3-49, Mar. 2003.
    • (2003) SIAM Rev. , vol.45 , Issue.1 , pp. 3-49
    • Moler, C.1    Loan, C.V.2
  • 44
    • 27144549311 scopus 로고    scopus 로고
    • The scaling and squaring method for the matrix exponential revisited
    • N. Higham, "The scaling and squaring method for the matrix exponential revisited," SIAM J. Matrix Anal. Appl., vol. 26, no. 4, pp. 1179-1196, 2005.
    • (2005) SIAM J. Matrix Anal. Appl. , vol.26 , Issue.4 , pp. 1179-1196
    • Higham, N.1
  • 46
    • 34347374479 scopus 로고    scopus 로고
    • Locally linear regression for pose-invariant face recognition
    • Jul.
    • X. Chai, S. Shan, X. Chen, and W. Gao, "Locally linear regression for pose-invariant face recognition," IEEE Trans. Image Process., vol. 16, no. 7, pp. 1716-1725, Jul. 2007.
    • (2007) IEEE Trans. Image Process. , vol.16 , Issue.7 , pp. 1716-1725
    • Chai, X.1    Shan, S.2    Chen, X.3    Gao, W.4
  • 47
    • 0035363672 scopus 로고    scopus 로고
    • From few to many: Illumination cone models for face recognition under variable lighting and pose
    • Jun.
    • A. S. Georghiades, P. N. Belhumeur, and D. J. Kriegman, "From few to many: Illumination cone models for face recognition under variable lighting and pose," IEEE Trans. Pattern Anal. Mach. Intell., vol. 23, no. 6, pp. 643-660, Jun. 2001.
    • (2001) IEEE Trans. Pattern Anal. Mach. Intell. , vol.23 , Issue.6 , pp. 643-660
    • Georghiades, A.S.1    Belhumeur, P.N.2    Kriegman, D.J.3
  • 49
    • 67649414924 scopus 로고    scopus 로고
    • Face recognition across pose: A review
    • Nov.
    • X. Zhang and Y. Gao, "Face recognition across pose: A review," Pattern Recognit., vol. 42, no. 11, pp. 2876-2896, Nov. 2009.
    • (2009) Pattern Recognit. , vol.42 , Issue.11 , pp. 2876-2896
    • Zhang, X.1    Gao, Y.2
  • 50
    • 0031185845 scopus 로고    scopus 로고
    • Eigenfaces vs Fisherfaces: Recognition using class specific linear projection
    • Jul.
    • P. N. Belhumeur, J. P. Hespanha, and D. J. Kriegman, "Eigenfaces vs 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    Kriegman, D.J.3
  • 51
    • 49749152430 scopus 로고    scopus 로고
    • Efficient kernel discriminant analysis via spectral regression
    • D. Cai, X. He, and J. Han, "Efficient kernel discriminant analysis via spectral regression," in Proc. Int. Conf. Data Mining, 2007, pp. 427-432.
    • Proc. Int. Conf. Data Mining, 2007 , pp. 427-432
    • Cai, D.1    He, X.2    Han, J.3
  • 52
    • 78751591621 scopus 로고    scopus 로고
    • Speed up kernel discriminant analysis
    • Feb.
    • D. Cai, X. He, and J. Han, "Speed up kernel discriminant analysis," Int. J. Very Large Data Bases, vol. 20, no. 1, pp. 21-33, Feb. 2011.
    • (2011) Int. J. Very Large Data Bases , vol.20 , Issue.1 , pp. 21-33
    • Cai, D.1    He, X.2    Han, J.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.