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Atomic decomposition by basis pursuit
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Chen, S.1
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Simultaneous cartoon and texture image inpainting using morphological component analysis
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M. Elad, J.-L. Starck, P. Querre, and D. Donoho, "Simultaneous cartoon and texture image inpainting using morphological component analysis," Appl. Comput. Harmon. Anal., vol. 19, no. 3, pp. 340-358, 2005.
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Int. Congr. Math. Conf.
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Candès, E.1
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33645712892
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Compressed sensing
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M. Fazel, E. Candès, B. Recht, and P. Parrilo, "Compressed sensing and robust recovery of low rank matrices," presented at the presented at the 40th Asilomar Conf. Signals, Syst. Comput., Pacific Grove, CA, Nov. 2008.
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Fazel, M.1
Candès, E.2
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Candès, E.1
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Sparse and low-rank matrix decompositions
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V. Chandrasekaran, S. Sanghavi, P. Parrilo, and A. Willsky, "Sparse and low-rank matrix decompositions," presented at the presented at the Allerton Conf. Commun., Control, Comput., Monticello, IL, Sep. 2009.
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Allerton Conf. Commun., Control, Comput.
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Chandrasekaran, V.1
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Commun. Pure Appl. Math
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Daubechies, I.1
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10
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T. Blumensath and M. Davies, "Iterative hard thresholding for compressive sensing," Appl. Comput. Harmon. Anal., vol. 27, no. 3, pp. 265-274, 2009.
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Blumensath, T.1
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Guaranteed rank minimization via singular value projection
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R. Meka, P. Jain, and I. Dhillon, "Guaranteed rank minimization via singular value projection," presented at the presented at the Adv. Neural Process. Syst., Vancouver, BC, Dec. 2010.
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Adv. Neural Process. Syst.
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Meka, R.1
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Gradient descent with sparsification: An iterative algorithm for sparse recovery with restricted isometry property
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R. Garg and R. Khandekar, "Gradient descent with sparsification: An iterative algorithm for sparse recovery with restricted isometry property," presented at the presented at the Int. Conf. Mach. Learn., Montreal, QC, Canada, Jun. 2009.
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Int. Conf. Mach. Learn.
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Garg, R.1
Khandekar, R.2
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Iterative projections for signal identification on manifolds
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P. Shah and V. Chandrasekharan, "Iterative projections for signal identification on manifolds," presented at the presented at the Allerton Conf. Commun., Control, Comput., Monticello, IL, Sep. 2011.
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Allerton Conf. Commun., Control, Comput.
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Shah, P.1
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Message passing algorithms for compressed sensing
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D. Donoho, A. Maleki, and A. Montanari, "Message passing algorithms for compressed sensing," Proc. Natl. Acad. Sci, vol. 106, no. 45, pp. 18914-18919, 2009.
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Proc. Natl. Acad. Sci
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Donoho, D.1
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M. Wakin, "The geometry of low-dimensional signal models," Ph.D. dissertation, Rice Univ., Houston, TX, Aug. 2006.
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The Geometry of Low-Dimensional Signal Models
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Wakin, M.1
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Random projections of smooth manifolds
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Found. Comput. Math.
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Baraniuk, R.1
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A generalized uncertainty principle and sparse representation in pairs of bases
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Elad, M.1
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On sparse representation in pairs of bases
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Feuer, A.1
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Sparse representations in unions of bases
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R. Gribonval and M. Nielsen, "Sparse representations in unions of bases," IEEE Trans. Inf. Theory, vol. 49, no. 12, pp. 3320-3325, Dec. 2003.
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Gribonval, R.1
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Image manifolds which are isometric to euclidean space
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C. Grimes and D. Donoho, "Image manifolds which are isometric to euclidean space," J. Math. Imag. Vis., vol. 23, no. 1, pp. 5-24, 2005.
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Grimes, C.1
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M. Wakin, D. Donoho, H. Choi, and R. Baraniuk, "High-resolution navigation on non-differentiable image manifolds," presented at the presented at the IEEE Int. Conf. Acoust., Speech, Signal Process., Philadelphia, PA, Mar. 2005.
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IEEE Int. Conf. Acoust., Speech, Signal Process
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Wakin, M.1
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Signal processing with compressive measurements
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IEEE J. Sel. Topics Signal Process.
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Davenport, M.1
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Extensions of lipschitz mappings into a hilbert space
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W. Johnson and J. Lindenstrauss, "Extensions of Lipschitz mappings into a Hilbert space," presented at the presented at the Conf. Modern Anal. Probab., New Haven, CT, Jun. 1982.
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Conf. Modern Anal. Probab.
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Johnson, W.1
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Sparcs: Recovering low-rank and sparse matrices from compressive measurements
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A. Waters, A. Sankaranarayanan, and R. Baraniuk, "SpaRCS: Recovering low-rank and sparse matrices from compressive measurements," presented at the presented at the Adv. Neural Process. Syst. Conf., Granada, Spain, Dec. 2011.
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Adv. Neural Process. Syst. Conf.
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Waters, A.1
Sankaranarayanan, A.2
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