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Volumn 25, Issue 1, 2011, Pages 117-134

A computational and theoretical analysis of local null space discriminant method for pattern classification

Author keywords

dimensionality reduction; local discriminant analysis; local null space; manifold learning; Pattern classification

Indexed keywords

DIMENSIONALITY REDUCTION; LOCAL DISCRIMINANT ANALYSIS; LOCAL NULL SPACE; MANIFOLD LEARNING; PATTERN CLASSIFICATION;

EID: 79952057827     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001411008476     Document Type: Article
Times cited : (2)

References (30)
  • 2
    • 0043278893 scopus 로고    scopus 로고
    • Laplacian eigenmaps and spectral techniques for embedding and clustering
    • M. Belkin and P. Niyogi, Laplacian eigenmaps and spectral techniques for embedding and clustering, Neural Inform. Process. Syst. (2001), pp. 585-591.
    • (2001) Neural Inform. Process. Syst. , pp. 585-591
    • Belkin, M.1    Niyogi, P.2
  • 4
    • 0034300875 scopus 로고    scopus 로고
    • A new LDA-based face recognition system which can solve the small sample size problem
    • L. F. Chen, H. Y. M. Liao, J. C. Lin, M. D. Kao and G. J. Yu, A new LDA-based face recognition system which can solve the small sample size problem, Patt. Recogn. 33(10) (2000) 1713-1726.
    • (2000) Patt. Recogn. , vol.33 , Issue.10 , pp. 1713-1726
    • Chen, L.F.1    Liao, H.Y.M.2    Lin, J.C.3    Kao, M.D.4    Yu, G.J.5
  • 6
    • 27844528006 scopus 로고    scopus 로고
    • A new regularized linear discriminant analysis methods to solve small sample size problems
    • W. S. Chen, P. C. Yuen and J. Huang, A new regularized linear discriminant analysis methods to solve small sample size problems, Int. J. Patt. Recogn. Artif. Intell. 19(7) (2005) 917-936.
    • (2005) Int. J. Patt. Recogn. Artif. Intell. , vol.19 , Issue.7 , pp. 917-936
    • Chen, W.S.1    Yuen, P.C.2    Huang, J.3
  • 7
    • 65449137057 scopus 로고    scopus 로고
    • Wavelet-face based subspace LDA method to solve small sample size problem in face recognition
    • W. S. Chen, J. Huang, J. Zou and B. Fang, Wavelet-face based subspace LDA method to solve small sample size problem in face recognition, Int. J. Wavel. Multiresol. Info. Process. 7(2) (2009) 199-214.
    • (2009) Int. J. Wavel. Multiresol. Info. Process. , vol.7 , Issue.2 , pp. 199-214
    • Chen, W.S.1    Huang, J.2    Zou, J.3    Fang, B.4
  • 8
    • 77955850136 scopus 로고    scopus 로고
    • Incremental embedding and learning in the local discriminant subspace with application to face recognition
    • M. Cheng, B. Fang, Y. Y. Tang, T. Zhang and J. Wen, Incremental embedding and learning in the local discriminant subspace with application to face recognition, IEEE Trans. Syst. Man Cybern. Part C: App. Rev. 40(5) (2010) 580-591.
    • (2010) IEEE Trans. Syst. Man Cybern. Part C: App. Rev. , vol.40 , Issue.5 , pp. 580-591
    • Cheng, M.1    Fang, B.2    Tang, Y.Y.3    Zhang, T.4    Wen, J.5
  • 9
    • 77956058043 scopus 로고    scopus 로고
    • Marginal discriminant projections: An adaptable margin discriminant approach to feature reduction and extraction
    • M. Cheng, B. Fang, J. Wen, Y. Y. Tang, Marginal discriminant projections: An adaptable margin discriminant approach to feature reduction and extraction, Patt. Recogn. Lett. 31(13) (2010) 1965-1974.
    • (2010) Patt. Recogn. Lett. , vol.31 , Issue.13 , pp. 1965-1974
    • Cheng, M.1    Fang, B.2    Wen, J.3    Tang, Y.Y.4
  • 11
    • 70350742991 scopus 로고    scopus 로고
    • Improving the discriminant ability of local margin based learning method by incorporating the global between-class separability criterion
    • B. Fang, M. Cheng, Y. Y. Tang and G. He, Improving the discriminant ability of local margin based learning method by incorporating the global between-class separability criterion, Neurocomputing 73(1-3) (2009) 536-541.
    • (2009) Neurocomputing , vol.73 , Issue.1-3 , pp. 536-541
    • Fang, B.1    Cheng, M.2    Tang, Y.Y.3    He, G.4
  • 20
    • 0142120484 scopus 로고    scopus 로고
    • Regularized discriminant analysis for the small sample size problem in face recognition
    • DOI 10.1016/S0167-8655(03)00167-3
    • J. W. Lu, K. N. Plataniotis and A. N. Venetsanopoulos, Regularized discriminant analysis for the small sample size problem in face recognition, Patt. Recogn. Lett. 24(16) (2003) 3079-3087. (Pubitemid 37293335)
    • (2003) Pattern Recognition Letters , vol.24 , Issue.16 , pp. 3079-3087
    • Lu, J.1    Plataniotis, K.N.2    Venetsanopoulos, A.N.3
  • 22
    • 0034704222 scopus 로고    scopus 로고
    • Nonlinear dimensionality reduction by locally linear embedding
    • DOI 10.1126/science.290.5500.2323
    • S. Roweis and L. Saul, Nonlinear dimensionality reduction by locally linear embedding, Science 290(5500) (2000) 2323-2326. (Pubitemid 32041578)
    • (2000) Science , vol.290 , Issue.5500 , pp. 2323-2326
    • Roweis, S.T.1    Saul, L.K.2
  • 23
    • 0034704229 scopus 로고    scopus 로고
    • A global geometric framework for nonlinear dimensionality reduction
    • DOI 10.1126/science.290.5500.2319
    • J. Tenenbaum, V. Silva and J. Langford, A global geometric framework for nonlinear dimensionality reduction, Science 290(5500) (2000) 2319-2323. (Pubitemid 32041577)
    • (2000) Science , vol.290 , Issue.5500 , pp. 2319-2323
    • Tenenbaum, J.B.1    De Silva, V.2    Langford, J.C.3
  • 24
    • 0026065565 scopus 로고
    • Eigenfaces for recognition
    • M. Turk and A. Pentland, Eigenfaces for recognition, J. Cogn. Neurosci. 3(1) (1991) 71-86.
    • (1991) J. Cogn. Neurosci. , vol.3 , Issue.1 , pp. 71-86
    • Turk, M.1    Pentland, A.2
  • 25
    • 1842705510 scopus 로고    scopus 로고
    • [Online]
    • Yale Face Database, [Online]. Available: http://cvc.yale.edu/projects/ yalefaces/yalefaces. html, 2002.
    • (2002) Yale Face Database
  • 27
    • 0036487285 scopus 로고    scopus 로고
    • Why can LDA be performed in PCA transformed space?
    • DOI 10.1016/S0031-3203(02)00048-1, PII S0031320302000481
    • J. Yang and J. Yang, Why can LDA be performed in PCA transformed space? Patt. Recogn. 36(2) (2003) 563-566. (Pubitemid 35212848)
    • (2002) Pattern Recognition , vol.36 , Issue.2 , pp. 563-566
    • Yang, J.1    Yang, J.-Y.2
  • 28
    • 33748336501 scopus 로고    scopus 로고
    • Feature reduction via generalized uncorrelated linear discriminant analysis
    • DOI 10.1109/TKDE.2006.160, 1683768
    • J. Ye, R. Janardan, Q. Li and H. Park, Feature reduction via generalized uncorrelated linear discriminant analysis, IEEE Trans. Know. Data Engin. 28(10) (2006) 1312-1322. (Pubitemid 44335197)
    • (2006) IEEE Transactions on Knowledge and Data Engineering , vol.18 , Issue.10 , pp. 1312-1322
    • Ye, J.1    Janardan, R.2    Li, Q.3    Park, H.4
  • 29
    • 0001765951 scopus 로고    scopus 로고
    • A direct LDA algorithm for high dimensional data-with application to face recognition
    • H. Yu and J. Yang, A direct LDA algorithm for high dimensional data-with application to face recognition, Patt. Recogn. 34(10) (2001) 2067-2070.
    • (2001) Patt. Recogn. , vol.34 , Issue.10 , pp. 2067-2070
    • Yu, H.1    Yang, J.2
  • 30
    • 33746824651 scopus 로고    scopus 로고
    • Discriminant neighborhood embedding for classification
    • DOI 10.1016/j.patcog.2006.05.011, PII S0031320306002196
    • W. Zhang, X. Xue, L. Hong and Y. Guo, Discriminant neighborhood embedding for classification, Patt. Recogn. 39 (2006) 2240-2243. (Pubitemid 44175457)
    • (2006) Pattern Recognition , vol.39 , Issue.11 , pp. 2240-2243
    • Zhang, W.1    Xue, X.2    Lu, H.3    Guo, Y.-F.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.