메뉴 건너뛰기




Volumn 44, Issue 10-11, 2011, Pages 2774-2785

Blockwise projection matrix versus blockwise data on undersampled problems: Analysis, comparison and applications

Author keywords

2DLDA; 2DPCA; Blockwise LDA; Blockwise PCA; Face recognition; Gene expression data; LDA; PCA

Indexed keywords

2DLDA; 2DPCA; BLOCKWISE LDA; BLOCKWISE PCA; GENE EXPRESSION DATA; LDA; PCA;

EID: 79958776165     PISSN: 00313203     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.patcog.2011.03.033     Document Type: Article
Times cited : (5)

References (46)
  • 2
    • 31644433509 scopus 로고    scopus 로고
    • Combining reconstructive and discriminative subspace methods for robust classification and regression by subsampling
    • DOI 10.1109/TPAMI.2006.46
    • S. Fidler, D. Skocaj, and A. Leonardis Combining reconstructive and discriminative subspace methods for robust classification and regression by subsampling IEEE Transactions on Pattern Analysis and Machine Intelligence 2006 337 350 (Pubitemid 43167906)
    • (2006) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.28 , Issue.3 , pp. 337-350
    • Fidler, S.1    Skocaj, D.2    Leonardis, A.3
  • 9
    • 0025236073 scopus 로고
    • Application of the Karhunen-Loeve procedure for the characterization of human faces
    • DOI 10.1109/34.41390
    • M. Kirby, and L. Sirovich Application of the KL procedure for the Characterization of Human Faces IEEE Transactions on Pattern Analysis and Machine Intelligence 1990 103 108 (Pubitemid 20653605)
    • (1990) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.12 , Issue.1 , pp. 103-108
    • Kirby, M.1    Sirovich, L.2
  • 10
    • 34047196558 scopus 로고    scopus 로고
    • Equivalence of some common linear feature extraction techniques for appearance-based object recognition tasks
    • DOI 10.1109/TPAMI.2007.1074
    • M. Asuncion Vicente, P.O. Hoyer, and A. Hyvarinen Equivalence of some common linear feature techniques for appearance-based object recognition tasks IEEE Transactions on Pattern Analysis and Machine Intelligence 2007 896 900 (Pubitemid 46534785)
    • (2007) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.29 , Issue.5 , pp. 896-900
    • Vicente, M.A.1    Hoyer, P.O.2    Hyvarinen, A.3
  • 15
    • 0036489046 scopus 로고    scopus 로고
    • Comparison of discrimination methods for the classification tumors using gene expression data
    • S. Dudoit, J. Fridlyand, and T.P. Speed Comparison of discrimination methods for the classification tumors using gene expression data Journal of the American Statistical Association 97 457 2002 77 87
    • (2002) Journal of the American Statistical Association , vol.97 , Issue.457 , pp. 77-87
    • Dudoit, S.1    Fridlyand, J.2    Speed, T.P.3
  • 18
    • 21844447839 scopus 로고    scopus 로고
    • Characterization of a family of algorithms for generalized discriminant analysis on undersampled problems
    • J. Ye Characterization of a family of algorithms for generalized discriminant analysis on undersampled problems Machine Learning Research Journal 2005 483 502
    • (2005) Machine Learning Research Journal , pp. 483-502
    • Ye, J.1
  • 19
    • 21244494853 scopus 로고    scopus 로고
    • A two-stage linear discriminant analysis via QR-decomposition
    • DOI 10.1109/TPAMI.2005.110
    • J. Ye, and Q. Li A two-stage discriminant analysis via QR decomposition IEEE Transactions on Pattern Analysis and Machine Intelligence 2005 929 941 (Pubitemid 40889843)
    • (2005) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.27 , Issue.6 , pp. 929-941
    • Ye, J.1    Li, Q.2
  • 20
    • 0027609732 scopus 로고
    • Algebraic feature extraction for image recognition based on an optimal discriminant criterion
    • DOI 10.1016/0031-3203(93)90056-3
    • K. Liu, Y.Q. Cheng, and J.Y. Yang Algebraic feature extraction for image recognition based on an optimal discriminant criterion Pattern Recognition 26 6 1993 903 911 (Pubitemid 23688576)
    • (1993) Pattern Recognition , vol.26 , Issue.6 , pp. 903-911
    • Liu, K.1    Cheng, Y.-Q.2    Yang, J.-Y.3
  • 22
    • 30044447599 scopus 로고    scopus 로고
    • Generalized low rank approximation of matrices
    • J. Ye Generalized low rank approximation of matrices Machine Learning 61 13 2005
    • (2005) Machine Learning , vol.61 , Issue.13
    • Ye, J.1
  • 23
    • 33750508505 scopus 로고    scopus 로고
    • The theoretical analysis of GLRAM and its applications
    • DOI 10.1016/j.patcog.2006.04.038, PII S0031320306001774
    • Z. Liang, D. Zhang, and P. Shi The theoretical analysis of GLRAM and its applications Pattern Recognition 2007 1032 1041 (Pubitemid 44667745)
    • (2007) Pattern Recognition , vol.40 , Issue.3 , pp. 1032-1041
    • Liang, Z.1    Zhang, D.2    Shi, P.3
  • 24
    • 17444363786 scopus 로고    scopus 로고
    • Two-dimensional FLD for face recognition
    • DOI 10.1016/j.patcog.2004.12.003, PII S0031320305000130
    • H. Xiong, M.S.S. Swam, and M.O. Ahmad Two-dimensional FLD for face recognition Pattern Recognition 2005 1121 1124 (Pubitemid 40537033)
    • (2005) Pattern Recognition , vol.38 , Issue.7 , pp. 1121-1124
    • Xiong, H.1    Swamy, M.N.S.2    Ahmad, M.O.3
  • 28
    • 53949106302 scopus 로고    scopus 로고
    • A note on two-dimensional linear discriminant analysis
    • Z. Liang, Y. Li, and P. Shi A note on two-dimensional linear discriminant analysis Pattern Recognition Letters 29 16 2008 2122 2128
    • (2008) Pattern Recognition Letters , vol.29 , Issue.16 , pp. 2122-2128
    • Liang, Z.1    Li, Y.2    Shi, P.3
  • 29
    • 0034300875 scopus 로고    scopus 로고
    • A new LDA-based face recognition system which can solve the small sample size problem
    • L.F. Chen, Y.M. Liao, M.T. Ko, J.C. Lin, and G.J. Yu A new LDA-based face recognition system which can solve the small sample size problem Pattern Recognition 2000 1713 1726
    • (2000) Pattern Recognition , pp. 1713-1726
    • Chen, L.F.1    Liao, Y.M.2    Ko, M.T.3    Lin, J.C.4    Yu, G.J.5
  • 31
    • 0004236492 scopus 로고    scopus 로고
    • Third Edition The Johns Hopkins University Press Baltimore, MD, USA
    • G.H. Folub, and C.F. Van Loan Matrix Computation Third Edition 1996 The Johns Hopkins University Press Baltimore, MD, USA
    • (1996) Matrix Computation
    • Folub, G.H.1    Van Loan, C.F.2
  • 32
    • 84957864263 scopus 로고    scopus 로고
    • A unified approach to parallel BlockJacobi methods for the symmetric eigenvalue problem
    • D. Gimenez, V. Hernandez, and A.M. Vidal A unified approach to parallel BlockJacobi methods for the symmetric eigenvalue problem Lecture Notes in Computer Science 1573 1998 29 42
    • (1998) Lecture Notes in Computer Science , vol.1573 , pp. 29-42
    • Gimenez, D.1    Hernandez, V.2    Vidal, A.M.3
  • 36
    • 79958832246 scopus 로고    scopus 로고
    • 〈 http://www.can-or.co.uk/Facedatbase.html 〉.
  • 38
    • 3042674061 scopus 로고    scopus 로고
    • Gabor-Based kernel PCA with fractional power polynomial models for face recognition
    • C. Liu Gabor-Based kernel PCA with fractional power polynomial models for face recognition IEEE Transactions on Pattern Analysis and Machine Intelligence 26 5 2004 572 581
    • (2004) IEEE Transactions on Pattern Analysis and Machine Intelligence , vol.26 , Issue.5 , pp. 572-581
    • Liu, C.1
  • 41
    • 0033569406 scopus 로고    scopus 로고
    • Molecular classification of cancer: Class discovery and class prediction by gene expression monitoring
    • T.R. Golub Molecular classification of cancer: class discovery and class prediction by gene expression monitoring Science 286 1999 531 537
    • (1999) Science , vol.286 , pp. 531-537
    • Golub, T.R.1
  • 44
    • 18544375333 scopus 로고    scopus 로고
    • MLL translocations specify a distinct gene expression profile that distinguishes a unique Leukemia
    • S.A. Armstrong MLL translocations specify a distinct gene expression profile that distinguishes a unique Leukemia Nature Genetics 30 2002 41 47
    • (2002) Nature Genetics , vol.30 , pp. 41-47
    • Armstrong, S.A.1
  • 45
    • 0037116832 scopus 로고    scopus 로고
    • Use of proteomic patterns in serum to identify Ovarian cancer
    • E.F. Petricoin Use of proteomic patterns in serum to identify Ovarian cancer The Lancet 359 2002 572 577
    • (2002) The Lancet , vol.359 , pp. 572-577
    • Petricoin, E.F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.