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Volumn 86, Issue , 2012, Pages 52-58

Feature extraction using fuzzy maximum margin criterion

Author keywords

Feature extraction; Fuzzy maximum margin criterion; Fuzzy set theory; Kernel method

Indexed keywords

DIMENSIONALITY REDUCTION; FEATURE EXTRACTION TECHNIQUES; GENERALIZED SINGULAR VALUE DECOMPOSITION; KERNEL METHODS; MAXIMUM MARGIN CRITERIONS; MEMBERSHIP DEGREES; NOVEL CRITERION; POSITIVE DEFINITE KERNELS; SCATTER MATRIX;

EID: 84859101098     PISSN: 09252312     EISSN: 18728286     Source Type: Journal    
DOI: 10.1016/j.neucom.2011.12.031     Document Type: Article
Times cited : (24)

References (24)
  • 2
    • 1542337814 scopus 로고    scopus 로고
    • Kernel Fisher Discriminant
    • PhD Thesis, University of Technology, Berlin
    • S. Mika, Kernel Fisher Discriminant, PhD Thesis, University of Technology, Berlin, 2002.
    • (2002)
    • Mika, S.1
  • 3
    • 54349111811 scopus 로고    scopus 로고
    • Generalized linear discriminant analysis: a unified framework and efficient model selection
    • Ji Sh.W., Ye J.P. Generalized linear discriminant analysis: a unified framework and efficient model selection. IEEE Trans. Neural Networks 2008, 19(10):1768-1782.
    • (2008) IEEE Trans. Neural Networks , vol.19 , Issue.10 , pp. 1768-1782
    • Ji, S.1    Ye, J.P.2
  • 4
    • 10044254164 scopus 로고    scopus 로고
    • Regularization studies of linear discriminant analysis in small sample size scenarios with application to face recognition
    • Lu J.W., Plataniotis K., Venetsanopoulos A. Regularization studies of linear discriminant analysis in small sample size scenarios with application to face recognition. Pattern Recogn. Lett. 2005, 26:181-191.
    • (2005) Pattern Recogn. Lett. , vol.26 , pp. 181-191
    • Lu, J.W.1    Plataniotis, K.2    Venetsanopoulos, A.3
  • 5
    • 21844486429 scopus 로고
    • Penalized discriminant analysis
    • Hastie T., Buja A., Tibshirane R. Penalized discriminant analysis. Ann. Stat. 1995, 23(1):73-102.
    • (1995) Ann. Stat. , vol.23 , Issue.1 , pp. 73-102
    • Hastie, T.1    Buja, A.2    Tibshirane, R.3
  • 6
    • 3242707002 scopus 로고    scopus 로고
    • Generalizing discriminant analysis using the generalized singular value decomposition
    • Howland P., Park H. Generalizing discriminant analysis using the generalized singular value decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 2004, 26(8):995-1006.
    • (2004) IEEE Trans. Pattern Anal. Mach. Intell. , vol.26 , Issue.8 , pp. 995-1006
    • Howland, P.1    Park, H.2
  • 7
    • 21244494853 scopus 로고    scopus 로고
    • A two-stage linear discriminant analysis via QR-decomposition
    • Ye J.P., Li Q. A two-stage linear discriminant analysis via QR-decomposition. IEEE Trans. Pattern Anal. Mach. Intell. 2005, 27(6):929-941.
    • (2005) IEEE Trans. Pattern Anal. Mach. Intell. , vol.27 , Issue.6 , pp. 929-941
    • Ye, J.P.1    Li, Q.2
  • 8
    • 33745743918 scopus 로고    scopus 로고
    • Computational and theoretical analysis of null space and orthogonal linear discriminant analysis
    • Ye J.P. Computational and theoretical analysis of null space and orthogonal linear discriminant analysis. J. Mach. Learn. Res. 2006, 7:1183-1204.
    • (2006) J. Mach. Learn. Res. , vol.7 , pp. 1183-1204
    • Ye, J.P.1
  • 9
    • 0034300875 scopus 로고    scopus 로고
    • A new LDA-based face recognition systerm which can solve the small sample size problem
    • Chen L.F., Mark Liao H.Y., Ko M.T., Lin J.Ch., Yu G.J. A new LDA-based face recognition systerm which can solve the small sample size problem. Pattern Recogn. 2000, 33:1713-1726.
    • (2000) Pattern Recogn. , vol.33 , pp. 1713-1726
    • Chen, L.F.1    Mark Liao, H.Y.2    Ko, M.T.3    Lin, J.4    Yu, G.J.5
  • 10
    • 0001765951 scopus 로고    scopus 로고
    • A direct LDA algorithm for high-dimensional data-with application to face recognion
    • Yu H., Yang J. A direct LDA algorithm for high-dimensional data-with application to face recognion. Pattern Recogn. 2001, 34:2067-2070.
    • (2001) Pattern Recogn. , vol.34 , pp. 2067-2070
    • Yu, H.1    Yang, J.2
  • 11
    • 0036487285 scopus 로고    scopus 로고
    • Why can LDA be performed in PCA transformed space?
    • Yang J., Yang J.Y. Why can LDA be performed in PCA transformed space?. Pattern Recogn. 2003, 36:563-566.
    • (2003) Pattern Recogn. , vol.36 , pp. 563-566
    • Yang, J.1    Yang, J.Y.2
  • 12
    • 0031185845 scopus 로고    scopus 로고
    • Eigenfaces vs. Fisherfaces: recognition using class specific linear projection
    • Belhumeur P., Hespanha J., Kriegman D. Eigenfaces vs. Fisherfaces: recognition using class specific linear projection. IEEE Trans. Pattern Anal. Mach. Intell. 1997, 19(7):711-720.
    • (1997) IEEE Trans. Pattern Anal. Mach. Intell. , vol.19 , Issue.7 , pp. 711-720
    • Belhumeur, P.1    Hespanha, J.2    Kriegman, D.3
  • 14
    • 0035393361 scopus 로고    scopus 로고
    • Multiclass linear dimension reduction by weighted pairwise fisher criteria
    • Loog M. Multiclass linear dimension reduction by weighted pairwise fisher criteria. IEEE Trans. Pattern Anal. Mach. Intell. 2001, 23(7):762-766.
    • (2001) IEEE Trans. Pattern Anal. Mach. Intell. , vol.23 , Issue.7 , pp. 762-766
    • Loog, M.1
  • 15
    • 34547669000 scopus 로고    scopus 로고
    • Uncorrelated linear discriminant analysis based on weighted pairwise fisher criterion
    • Liang Y.X., Li Ch.R., Gong W.G., Pan Y.J. Uncorrelated linear discriminant analysis based on weighted pairwise fisher criterion. Pattern Recogn. 2007, 40:3606-3615.
    • (2007) Pattern Recogn. , vol.40 , pp. 3606-3615
    • Liang, Y.X.1    Li, C.2    Gong, W.G.3    Pan, Y.J.4
  • 16
    • 6444237040 scopus 로고    scopus 로고
    • Face recognition using dirct, weighted linear discriminant analysis and modular subspaces
    • Price R., Gee F. Face recognition using dirct, weighted linear discriminant analysis and modular subspaces. Pattern Recogn. 2005, 38:209-219.
    • (2005) Pattern Recogn. , vol.38 , pp. 209-219
    • Price, R.1    Gee, F.2
  • 17
    • 22844440598 scopus 로고    scopus 로고
    • Face recognition using a fuzzy fisherface classifier
    • Kwak K., Pedrycz W. Face recognition using a fuzzy fisherface classifier. Pattern Recogn. 2005, 38:1717-1732.
    • (2005) Pattern Recogn. , vol.38 , pp. 1717-1732
    • Kwak, K.1    Pedrycz, W.2
  • 19
  • 20
    • 48649094688 scopus 로고    scopus 로고
    • Kernel maximum scatter difference based feature extraction and its application to face recognition
    • Wang J.G., Lin Y.Sh., Yang W.K., Yang J.Y. Kernel maximum scatter difference based feature extraction and its application to face recognition. Pattern Recogn. Lett. 2008, 29:1832-1835.
    • (2008) Pattern Recogn. Lett. , vol.29 , pp. 1832-1835
    • Wang, J.G.1    Lin, Y.2    Yang, W.K.3    Yang, J.Y.4
  • 21
    • 33144458972 scopus 로고    scopus 로고
    • Efficient and robust feature extraction by maximum margin criterion
    • Li H.F., Jiang T., Zhang K.Sh. Efficient and robust feature extraction by maximum margin criterion. IEEE Trans. Neural Networks 2006, 17(1):157-165.
    • (2006) IEEE Trans. Neural Networks , vol.17 , Issue.1 , pp. 157-165
    • Li, H.F.1    Jiang, T.2    Zhang, K.3
  • 22
    • 29344466691 scopus 로고    scopus 로고
    • Kernel principal component
    • In: Analysis: Lecture Notes in Computer Science
    • B. Scholkopf, A.J. Smola, K.R. Muller, Kernel principal component, in: Analysis: Lecture Notes in Computer Science, 1997.
    • (1997)
    • Scholkopf, B.1    Smola, A.J.2    Muller, K.R.3
  • 24
    • 65549157171 scopus 로고    scopus 로고
    • Kernel discriminant analysis for positive definite and indefinite kernels
    • Pekalska E., Haasdonk B. Kernel discriminant analysis for positive definite and indefinite kernels. IEEE Trans. Pattern Anal. Mach. Intell. 2009, 31(6):1017-1032.
    • (2009) IEEE Trans. Pattern Anal. Mach. Intell. , vol.31 , Issue.6 , pp. 1017-1032
    • Pekalska, E.1    Haasdonk, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.