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RASL: Robust Alignment by Sparse and Low-Rank Decomposition for Linearly Correlated Images., , , , and . IEEE Trans. Pattern Anal. Mach. Intell., 34 (11): 2233-2246 (2012)RASL: Robust alignment by sparse and low-rank decomposition for linearly correlated images., , , , and . CVPR, page 763-770. IEEE Computer Society, (2010)Foreground Extraction of Underwater Videos via Sparse and Low-Rank Matrix Decomposition., , and . CVAUI@ICPR, page 65-72. IEEE Computer Society, (2014)Ways to sparse representation: An overview., , , and . Sci. China Ser. F Inf. Sci., 52 (4): 695-703 (2009)Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization., , , , and . NIPS, page 2080-2088. Curran Associates, Inc., (2009)An Efficient VNE Algorithm via Preferentially Mapping Important Nodes., , , , and . LCN Workshops, page 34-41. IEEE Computer Society, (2016)Face recognition using anisotropic dual-tree complex wavelet packets., , , and . ICPR, page 1-4. IEEE Computer Society, (2008)Robust Image Restoration via Reweighted Low-Rank Matrix Recovery., , , , and . MMM (1), volume 8325 of Lecture Notes in Computer Science, page 315-326. Springer, (2014)Reweighted Low-Rank Matrix Recovery and its Application in Image Restoration., , , and . IEEE Trans. Cybern., 44 (12): 2418-2430 (2014)Super-resolution from unregistered aliased images with unknown scalings and shifts., , , , and . ICASSP, page 857-860. IEEE, (2012)