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Volumn , Issue , 2011, Pages 1199-1203

Fast ℓ 1-minimization and parallelization for face recognition

Author keywords

[No Author keywords available]

Indexed keywords

AUGMENTED LAGRANGIAN METHODS; COMPUTATIONAL COSTS; EXTENSIVE SIMULATIONS; HIGH-DIMENSIONAL; LARGE-SCALE PROBLEM; PARALLELIZATIONS; REAL WORLD EXPERIMENT;

EID: 84861304308     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACSSC.2011.6190205     Document Type: Conference Paper
Times cited : (7)

References (18)
  • 1
    • 85014561619 scopus 로고    scopus 로고
    • A fast iterative shrinkage-thresholding algorithm for linear inverse problems
    • A. Beck and M. Teboulle. A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM J. on Im. Sci., 2(1):183-202, 2009.
    • (2009) SIAM J. on Im. Sci. , vol.2 , Issue.1 , pp. 183-202
    • Beck, A.1    Teboulle, M.2
  • 3
    • 59849112503 scopus 로고    scopus 로고
    • From sparse solutions of systems of equations to sparse modeling of signals and images
    • in press
    • A. Bruckstein, D. Donoho, and M. Elad. From sparse solutions of systems of equations to sparse modeling of signals and images. (in press) SIAM Review, 2007.
    • (2007) SIAM Review
    • Bruckstein, A.1    Donoho, D.2    Elad, M.3
  • 5
    • 0035273106 scopus 로고    scopus 로고
    • Atomic decomposition by basis pursuit
    • DOI 10.1137/S003614450037906X, PII S003614450037906X
    • S. Chen, D. Donoho, and M. Saunders. Atomic decomposition by basis pursuit. SIAM Review, 43(1):129-159, 2001. (Pubitemid 32406896)
    • (2001) SIAM Review , vol.43 , Issue.1 , pp. 129-159
    • Chen, S.S.1    Donoho, D.L.2    Saunders, M.A.3
  • 6
    • 7044231546 scopus 로고    scopus 로고
    • An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
    • DOI 10.1002/cpa.20042
    • I. Daubechies, M. Defrise, and C. Mol. An iterative thresholding algorithm for linear inverse problems with a sparsity constraint. Comm. Pure Appl. Math., 57:1413-1457, 2004. (Pubitemid 39427442)
    • (2004) Communications on Pure and Applied Mathematics , vol.57 , Issue.11 , pp. 1413-1457
    • Daubechies, I.1    Defrise, M.2    De Mol, C.3
  • 7
    • 33646365077 scopus 로고    scopus 로고
    • 1-norm solution is also the sparsest solution
    • 1-norm solution is also the sparsest solution. Comm. on Pure and Applied Math, 59(6):797-829, 2006.
    • (2006) Comm. on Pure and Applied Math , vol.59 , Issue.6 , pp. 797-829
    • Donoho, D.1
  • 12
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the LASSO
    • R. Tibshirani. Regression shrinkage and selection via the LASSO. J. Royal Stat. Soc. B, 58(1):267-288, 1996.
    • (1996) J. Royal Stat. Soc. B , vol.58 , Issue.1 , pp. 267-288
    • Tibshirani, R.1
  • 15
    • 61549128441 scopus 로고    scopus 로고
    • Robust face recognition via sparse representation
    • J. Wright, A. Yang, A. Ganesh, S. Sastry, and Y. Ma. Robust face recognition via sparse representation. IEEE Trans. PAMI, 31(2):210-227, 2009.
    • (2009) IEEE Trans. PAMI , vol.31 , Issue.2 , pp. 210-227
    • Wright, J.1    Yang, A.2    Ganesh, A.3    Sastry, S.4    Ma, Y.5
  • 16
    • 51449122370 scopus 로고    scopus 로고
    • Sparse reconstruction by separable approximation
    • S. Wright, R. Nowak, and M. Figueiredo. Sparse reconstruction by separable approximation. In ICASSP, 2008.
    • (2008) ICASSP
    • Wright, S.1    Nowak, R.2    Figueiredo, M.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.