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Volumn 33, Issue 3, 2010, Pages 323-332

An adaptively weighted sub-pattern locality preserving projection for face recognition

Author keywords

Face recognition; Feature extraction; Locality preserving projection; Manifold learning; Pattern recognition

Indexed keywords

FACE DATABASE; FACE FEATURES; FACE IMAGE PATTERNS; FACE IMAGES; FACE MANIFOLD; ILLUMINATION VARIATION; LOCALITY PRESERVING PROJECTIONS; MANIFOLD LEARNING; PATTERN BASED METHOD; SUB-PATTERNS;

EID: 77951206130     PISSN: 10848045     EISSN: 10958592     Source Type: Journal    
DOI: 10.1016/j.jnca.2009.12.013     Document Type: Article
Times cited : (36)

References (28)
  • 3
    • 0042378381 scopus 로고    scopus 로고
    • Laplacian eignmaps for dimensionality reduction and data representation
    • Belkin M., and Niyogi P. Laplacian eignmaps for dimensionality reduction and data representation. Neural Computation 15 6 (2003) 1373-1396
    • (2003) Neural Computation , vol.15 , Issue.6 , pp. 1373-1396
    • Belkin, M.1    Niyogi, P.2
  • 5
    • 1842711984 scopus 로고    scopus 로고
    • Subpattern-based principle component analysis
    • Chen S., and Zhu Y. Subpattern-based principle component analysis. Pattern Recognition 37 (2004) 1081-1083
    • (2004) Pattern Recognition , vol.37 , pp. 1081-1083
    • Chen, S.1    Zhu, Y.2
  • 6
    • 32144461769 scopus 로고    scopus 로고
    • Image region selection and ensemble for face recognition
    • Geng X., and Zhou Z.-H. Image region selection and ensemble for face recognition. Journal of Computer Science and Technology 21 1 (2006) 116-125
    • (2006) Journal of Computer Science and Technology , vol.21 , Issue.1 , pp. 116-125
    • Geng, X.1    Zhou, Z.-H.2
  • 8
    • 0442296749 scopus 로고    scopus 로고
    • An improved face recognition technique based on modular PCA approach
    • Gottumukkal R., and Asari V.K. An improved face recognition technique based on modular PCA approach. Pattern Recognition Letters 25 (2004) 429-436
    • (2004) Pattern Recognition Letters , vol.25 , pp. 429-436
    • Gottumukkal, R.1    Asari, V.K.2
  • 13
    • 48149086066 scopus 로고    scopus 로고
    • Feature extraction using constrained maximum variance mapping
    • Li B., Huang D., Wang C., and Liu K. Feature extraction using constrained maximum variance mapping. Pattern Recognition 41 (2008) 3287-3294
    • (2008) Pattern Recognition , vol.41 , pp. 3287-3294
    • Li, B.1    Huang, D.2    Wang, C.3    Liu, K.4
  • 14
    • 33845473088 scopus 로고    scopus 로고
    • Weighted sub-gabor for face recognition
    • Nanni L., and Maio D. Weighted sub-gabor for face recognition. Pattern Recognition Letters 28 (2007) 487-492
    • (2007) Pattern Recognition Letters , vol.28 , pp. 487-492
    • Nanni, L.1    Maio, D.2
  • 16
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • Roweis S., and Saul L. Nonlinear dimensionality reduction by locally linear embedding. Science 290 (2000) 2323-2326
    • (2000) Science , vol.290 , pp. 2323-2326
    • Roweis, S.1    Saul, L.2
  • 19
    • 15844395836 scopus 로고    scopus 로고
    • Adaptively weighted sub-pattern PCA for face recognition
    • Tan K., and Chen S. Adaptively weighted sub-pattern PCA for face recognition. Neurocomputing 64 (2005) 505-511
    • (2005) Neurocomputing , vol.64 , pp. 505-511
    • Tan, K.1    Chen, S.2
  • 20
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • Tenenbaum J.B., de Silva V., and Langford J.C. A global geometric framework for nonlinear dimensionality reduction. Science 290 (2000) 2319-2323
    • (2000) Science , vol.290 , pp. 2319-2323
    • Tenenbaum, J.B.1    de Silva, V.2    Langford, J.C.3
  • 22
    • 36749015609 scopus 로고    scopus 로고
    • SubXPCA and a generalized feature partitioning approach to principal component analysis
    • Vijaya Kumar K., and Negi A. SubXPCA and a generalized feature partitioning approach to principal component analysis. Pattern Recognition 41 (2008) 1398-1409
    • (2008) Pattern Recognition , vol.41 , pp. 1398-1409
    • Vijaya Kumar, K.1    Negi, A.2
  • 23
    • 58149464103 scopus 로고    scopus 로고
    • Local ridge regression for face recognition
    • Xue H., Zhu Y., and Chen S. Local ridge regression for face recognition. Neurocomputing 72 (2009) 1342-1346
    • (2009) Neurocomputing , vol.72 , pp. 1342-1346
    • Xue, H.1    Zhu, Y.2    Chen, S.3
  • 24
    • 77951204384 scopus 로고    scopus 로고
    • Yale University Face Database
    • Yale University Face Database, 〈http://cvc.yale.edu/projects/yalefaces/yalefaces.html〉.
  • 25
    • 35048881449 scopus 로고    scopus 로고
    • Component-based cascade linear discriminant analysis for face recognition
    • Zhang W., Shan S., Gao W., Chang Y., and Cao B. Component-based cascade linear discriminant analysis for face recognition. Lecture Notes in Computer Science 3338 (2005) 288-295
    • (2005) Lecture Notes in Computer Science , vol.3338 , pp. 288-295
    • Zhang, W.1    Shan, S.2    Gao, W.3    Chang, Y.4    Cao, B.5
  • 27
    • 45149100617 scopus 로고    scopus 로고
    • Sub-pattern non-negative matrix factorization based on random subspace for face recognition
    • Zhu Yu-Lian. Sub-pattern non-negative matrix factorization based on random subspace for face recognition. In: International conference on wavelet analysis and pattern recognition, 2007. p. 1356-60.
    • (2007) International conference on wavelet analysis and pattern recognition , pp. 1356-1360
    • Zhu, Y.-L.1
  • 28
    • 34648825723 scopus 로고    scopus 로고
    • A comparative study of local matching approach for face recognition
    • Zou J., Ji Q., and Nagy G. A comparative study of local matching approach for face recognition. IEEE Transactions on Image Processing 16 10 (2007) 2617-2628
    • (2007) IEEE Transactions on Image Processing , vol.16 , Issue.10 , pp. 2617-2628
    • Zou, J.1    Ji, Q.2    Nagy, G.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.