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Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices, , , and . CoRR, (2009)Separation of a subspace-sparse signal: Algorithms and conditions., , and . ICASSP, page 3141-3144. IEEE, (2009)Demo: Robust face recognition via sparse representation., , , , and . FG, page 1-2. IEEE Computer Society, (2008)Towards a practical face recognition system: Robust registration and illumination by sparse representation., , , , and . CVPR, page 597-604. IEEE Computer Society, (2009)Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization., , , , and . NIPS, page 2080-2088. Curran Associates, Inc., (2009)Dense error correction for low-rank matrices via Principal Component Pursuit., , , , and . ISIT, page 1513-1517. IEEE, (2010)Compressive principal component pursuit., , , and . ISIT, page 1276-1280. IEEE, (2012)Toward a Practical Face Recognition System: Robust Alignment and Illumination by Sparse Representation., , , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 34 (2): 372-386 (2012)Face recognition by sparse representation., , , , , and . Compressed Sensing, Cambridge University Press, (2012)Fast l1-minimization algorithms and an application in robust face recognition: A review., , , and . ICIP, page 1849-1852. IEEE, (2010)