메뉴 건너뛰기




Volumn 2, Issue 1, 2013, Pages 32-68

Compressive principal component pursuit

Author keywords

Compressed sensing; Convex optimization; Low rank recovery; Sparse recovery

Indexed keywords


EID: 85071489887     PISSN: None     EISSN: 20498772     Source Type: Journal    
DOI: 10.1093/imaiai/iat002     Document Type: Article
Times cited : (130)

References (41)
  • 4
    • 84856004485 scopus 로고    scopus 로고
    • Templates for convex cone problems with applications to sparse signal recovery
    • Becker, S., Candès, E. & Grant, M. (2010) Templates for convex cone problems with applications to sparse signal recovery. Math. Prog. Comp., 3, 165-218.
    • (2010) Math. Prog. Comp. , vol.3 , pp. 165-218
    • Becker, S.1    Candès, E.2    Grant, M.3
  • 5
  • 6
    • 79960675858 scopus 로고    scopus 로고
    • Robust principal component analysis?
    • Candès, E., Li, X., Ma, Y. & Wright, J. (2011) Robust principal component analysis? J. ACM, 58, 1-37.
    • (2011) J. ACM , vol.58 , pp. 1-37
    • Candès, E.1    Li, X.2    Ma, Y.3    Wright, J.4
  • 7
    • 71049116435 scopus 로고    scopus 로고
    • Exact matrix completion via convex optimzation
    • Candès, E. & Recht, B. (2008) Exact matrix completion via convex optimzation. Found. Comput. Math., 9, 717-772.
    • (2008) Found. Comput. Math. , vol.9 , pp. 717-772
    • Candès, E.1    Recht, B.2
  • 9
    • 29144439194 scopus 로고    scopus 로고
    • Decoding by linear programming
    • Candès, E. & Tao, T. (2005) Decoding by linear programming. IEEE Trans. Inf. Theory, 51, 4203-4215.
    • (2005) IEEE Trans. Inf. Theory , vol.51 , pp. 4203-4215
    • Candès, E.1    Tao, T.2
  • 13
    • 0037236821 scopus 로고    scopus 로고
    • An elementary proof of a theorem of Johnson and Lindenstrauss
    • Dasgupta, S. & Gupta, A. (2003) An elementary proof of a theorem of Johnson and Lindenstrauss. Random Struct. Algorithms, 22, 60-65.
    • (2003) Random Struct. Algorithms , vol.22 , pp. 60-65
    • Dasgupta, S.1    Gupta, A.2
  • 14
    • 0012070851 scopus 로고    scopus 로고
    • Local operator theory, random matrices and banach spaces
    • W. B. Johnson & J. Lindenstrauss eds) Elsevier Science
    • Davidson, K. & Szarek, S. (2001) Local operator theory, random matrices and banach spaces. Handbook of the Geometry of Banach Spaces (W. B. Johnson & J. Lindenstrauss eds) Elsevier Science, pp. 317-366.
    • (2001) Handbook of the Geometry of Banach Spaces , pp. 317-366
    • Davidson, K.1    Szarek, S.2
  • 15
    • 33645712892 scopus 로고    scopus 로고
    • Compressive sensing
    • Donoho, D. (2006) Compressive sensing. IEEE Trans. Inf. Theory, 52, 1289-1306.
    • (2006) IEEE Trans. Inf. Theory , vol.52 , pp. 1289-1306
    • Donoho, D.1
  • 19
    • 79951886985 scopus 로고    scopus 로고
    • Recovering low-rank matrices from few coefficients in any basis
    • Gross, D. (2011) Recovering low-rank matrices from few coefficients in any basis. IEEE Trans. Inf. Theory, 57, 1548-1566.
    • (2011) IEEE Trans. Inf. Theory , vol.57 , pp. 1548-1566
    • Gross, D.1
  • 20
    • 0004151494 scopus 로고
    • Cambridge: Cambridge University Press
    • Horn, R. & Johnson, C. (1990) Matrix Analysis. Cambridge: Cambridge University Press.
    • (1990) Matrix Analysis
    • Horn, R.1    Johnson, C.2
  • 21
    • 81255189015 scopus 로고    scopus 로고
    • Robust matrix decomposition with outliers
    • Hsu, D., Kakade, S. & Zhang, T. (2011) Robust matrix decomposition with outliers. IEEE Trans. Inf. Theory, 57, 7221-7234.
    • (2011) IEEE Trans. Inf. Theory , vol.57 , pp. 7221-7234
    • Hsu, D.1    Kakade, S.2    Zhang, T.3
  • 22
    • 0034287154 scopus 로고    scopus 로고
    • Adaptive estimation of a quadratic function by model selection
    • Laurent, B. & Massart, P. (2000) Adaptive estimation of a quadratic function by model selection. Ann. Statist., 28, 1302-1338.
    • (2000) Ann. Statist. , vol.28 , pp. 1302-1338
    • Laurent, B.1    Massart, P.2
  • 26
    • 84859831899 scopus 로고    scopus 로고
    • Two proposals for robust PCA using semidefinite programming
    • McCoy, M. & Tropp, J. (2011) Two proposals for robust PCA using semidefinite programming. Electron. J. Stat. 5, 1123-1160.
    • (2011) Electron. J. Stat. , vol.5 , pp. 1123-1160
    • McCoy, M.1    Tropp, J.2
  • 27
    • 62749175137 scopus 로고    scopus 로고
    • CoSAMP: Iterative signal recovery from incomplete and inaccurate samples
    • Needell, D. & Tropp, J. (2008) CoSaMP: iterative signal recovery from incomplete and inaccurate samples. Appl. Comput. Harmon. Anal., 26, 301-321.
    • (2008) Appl. Comput. Harmon. Anal. , vol.26 , pp. 301-321
    • Needell, D.1    Tropp, J.2
  • 30
    • 84866665730 scopus 로고    scopus 로고
    • RASL: Robust alignment by sparse and low-rank decomposition for linearly correlated images
    • Peng, Y., Ganesh, A., Wright, J., Xu, W. & Ma, Y. (2012) Rasl: robust alignment by sparse and low-rank decomposition for linearly correlated images. IEEE Trans. Pattern Anal. Mach. Intell., 34, 2233-2246.
    • (2012) IEEE Trans. Pattern Anal. Mach. Intell. , vol.34 , pp. 2233-2246
    • Peng, Y.1    Ganesh, A.2    Wright, J.3    Xu, W.4    Ma, Y.5
  • 31
    • 84856009825 scopus 로고    scopus 로고
    • A simpler approach to matrix completion
    • Recht, B. (2011) A simpler approach to matrix completion. J. Mach. Learn. Res., 12, 3413-3430.
    • (2011) J. Mach. Learn. Res. , vol.12 , pp. 3413-3430
    • Recht, B.1
  • 35
    • 0011336092 scopus 로고
    • Characterization of the subdifferential of some matrix norms
    • Watson, G. (1992) Characterization of the subdifferential of some matrix norms. Linear Algebra Appl., 170, 33-45.
    • (1992) Linear Algebra Appl , vol.170 , pp. 33-45
    • Watson, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.