메뉴 건너뛰기




Volumn 101, Issue , 2013, Pages 104-115

Locality constrained representation based classification with spatial pyramid patches

Author keywords

Face recognition; Linear representation; Locality constraint

Indexed keywords

COMPUTATIONALLY EFFICIENT; CONCENTRATION INDICES; DATA SETS; FACE IMAGES; FUSION METHODS; LINEAR REPRESENTATION; LOCAL FEATURE; LOCALITY CONSTRAINT; SINGLE SAMPLE; SPARSE REPRESENTATION; SPATIAL FEATURES; TRAINING DATA; TRAINING SAMPLE;

EID: 84868617846     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2012.08.007     Document Type: Article
Times cited : (18)

References (41)
  • 5
    • 33947167478 scopus 로고    scopus 로고
    • Face description with local binary patterns. application to face recognition
    • Ahonen T., Hadid A., Pietikainen M. Face description with local binary patterns. application to face recognition. IEEE Trans. Pattern Anal. Mach. Intell. 2006, 28(12):2037-2041.
    • (2006) IEEE Trans. Pattern Anal. Mach. Intell. , vol.28 , Issue.12 , pp. 2037-2041
    • Ahonen, T.1    Hadid, A.2    Pietikainen, M.3
  • 12
    • 0033096854 scopus 로고    scopus 로고
    • Face recognition using the nearest feature line method
    • Li S., Lu J. Face recognition using the nearest feature line method. IEEE Trans. Neural Networks 1999, 10(2):439-443.
    • (1999) IEEE Trans. Neural Networks , vol.10 , Issue.2 , pp. 439-443
    • Li, S.1    Lu, J.2
  • 14
    • 18144420071 scopus 로고    scopus 로고
    • Acquiring linear subspaces for face recognition under variable lighting
    • Lee K.-C., Ho J., Kriegman D. Acquiring linear subspaces for face recognition under variable lighting. IEEE Trans. Pattern Anal. Mach. Intell. 2005, 27(5):684-698.
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell. , vol.27 , Issue.5 , pp. 684-698
    • Lee, K.-C.1    Ho, J.2    Kriegman, D.3
  • 17
    • 80055016825 scopus 로고    scopus 로고
    • Beyond sparsity. the role of l1-optimizer in pattern classification
    • Yang J., Zhang L., Xu Y., Yang J.yu Beyond sparsity. the role of l1-optimizer in pattern classification. Pattern Recognition 2012, 45(3):1104-1118.
    • (2012) Pattern Recognition , vol.45 , Issue.3 , pp. 1104-1118
    • Yang, J.1    Zhang, L.2    Xu, Y.3    Yang, J.4
  • 19
  • 20
    • 79959633868 scopus 로고    scopus 로고
    • A regularized correntropy framework for robust pattern recognition
    • He R., Zheng W.-S., Hu B.-G., Kong X.-W. A regularized correntropy framework for robust pattern recognition. Neural Comput. 2011, 23(8):2074-2100.
    • (2011) Neural Comput. , vol.23 , Issue.8 , pp. 2074-2100
    • He, R.1    Zheng, W.-S.2    Hu, B.-G.3    Kong, X.-W.4
  • 21
    • 78649574716 scopus 로고    scopus 로고
    • Two-stage sparse representation for robust recognition on large-scale database
    • R. He, B.-G. Hu, W.-S. Zheng, Y. Guo, Two-stage sparse representation for robust recognition on large-scale database, in: AAAI'10, 2010, pp. 1-1.
    • (2010) in: AAAI'10. , pp. 1-1
    • He, R.1    Hu, B.-G.2    Zheng, W.-S.3    Guo, Y.4
  • 26
    • 80755127440 scopus 로고    scopus 로고
    • Human action segmentation and recognition via motion and shape analysis
    • Shao L., Ji L., Liu Y., Zhang J. Human action segmentation and recognition via motion and shape analysis. Pattern Recognition Lett. 2012, 33(4):438-445.
    • (2012) Pattern Recognition Lett. , vol.33 , Issue.4 , pp. 438-445
    • Shao, L.1    Ji, L.2    Liu, Y.3    Zhang, J.4
  • 28
    • 1542784498 scopus 로고    scopus 로고
    • Variable selection via nonconcave penalized likelihood and its oracle properties
    • Fan J., Li R. Variable selection via nonconcave penalized likelihood and its oracle properties. J. Am. Stat. Assoc. 2001, 96(456):1348-1360.
    • (2001) J. Am. Stat. Assoc. , vol.96 , Issue.456 , pp. 1348-1360
    • Fan, J.1    Li, R.2
  • 29
    • 33846114377 scopus 로고    scopus 로고
    • The adaptive lasso and its oracle properties
    • Zou H. The adaptive lasso and its oracle properties. J. Am. Stat. Assoc. 2006, 101(476):1418-1429.
    • (2006) J. Am. Stat. Assoc. , vol.101 , Issue.476 , pp. 1418-1429
    • Zou, H.1
  • 33
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Roweis S.T., Saul L.K. Nonlinear dimensionality reduction by locally linear embedding. Science 2000, 290:2323-2326.
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 34
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • Tibshirani R. Regression shrinkage and selection via the lasso. J. R. Stat. Soc. Ser. B 1996, 58:267-288.
    • (1996) J. R. Stat. Soc. Ser. B , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 37
    • 55349134896 scopus 로고    scopus 로고
    • Fast solution of l1-norm minimization problems when the solution may be sparse
    • Donoho D., Tsaig Y. Fast solution of l1-norm minimization problems when the solution may be sparse. IEEE Trans. Inf. Theory 2008, 54(11):4789-4812.
    • (2008) IEEE Trans. Inf. Theory , vol.54 , Issue.11 , pp. 4789-4812
    • Donoho, D.1    Tsaig, Y.2
  • 38
    • 84865597888 scopus 로고    scopus 로고
    • Extended SRC. undersampled face recognition via intra-class variant dictionary
    • Deng W., Hu J., Guo J. Extended SRC. undersampled face recognition via intra-class variant dictionary. IEEE Trans. Pattern Anal. Mach. Intell. 2012, (99):1.
    • (2012) IEEE Trans. Pattern Anal. Mach. Intell. , Issue.99 , pp. 1
    • Deng, W.1    Hu, J.2    Guo, J.3
  • 39
    • 0034215549 scopus 로고    scopus 로고
    • A new approach to variable selection in least squares problems
    • Osborne B.T.M., Presnell B. A new approach to variable selection in least squares problems. IMA J. Numer. Anal. 2000, 20(3):389-403.
    • (2000) IMA J. Numer. Anal. , vol.20 , Issue.3 , pp. 389-403
    • Osborne, B.T.M.1    Presnell, B.2
  • 40
    • 0035363672 scopus 로고    scopus 로고
    • From few to many. illumination cone models for face recognition under variable lighting and pose
    • Georghiades A.S., Belhumeur P.N., Kriegman D.J. From few to many. illumination cone models for face recognition under variable lighting and pose. IEEE Trans. Pattern Anal. Mach. Intell. 2001, 23(6):643-660.
    • (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
  • 41
    • 84868628615 scopus 로고    scopus 로고
    • The AR face database, CVC, Technical Report
    • A. Martinez, R. Benavente, The AR face database, CVC, Technical Report, 1998.
    • (1998)
    • Martinez, A.1    Benavente, R.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.