Local principal component pursuit for nonlinear datasets
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[1] John Wright,et al. Decomposing background topics from keywords by principal component pursuit , 2010, CIKM.
[2] Yong Yu,et al. Robust Subspace Segmentation by Low-Rank Representation , 2010, ICML.
[3] John Wright,et al. RASL: Robust Alignment by Sparse and Low-Rank Decomposition for Linearly Correlated Images , 2012, IEEE Trans. Pattern Anal. Mach. Intell..
[4] Gabriel Peyré,et al. Manifold models for signals and images , 2009, Comput. Vis. Image Underst..
[5] Michael P. Friedlander,et al. Joint-sparse recovery from multiple measurements , 2009, ArXiv.
[6] John Wright,et al. Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization , 2009, NIPS.
[7] G. Sapiro,et al. A collaborative framework for 3D alignment and classification of heterogeneous subvolumes in cryo-electron tomography. , 2013, Journal of structural biology.
[8] Emmanuel J. Candès,et al. Exact Matrix Completion via Convex Optimization , 2008, Found. Comput. Math..
[9] Yi Ma,et al. The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices , 2010, Journal of structural biology.
[10] Yi Ma,et al. Robust principal component analysis? , 2009, JACM.
[11] Tom Goldstein,et al. The Split Bregman Method for L1-Regularized Problems , 2009, SIAM J. Imaging Sci..
[12] References , 1971 .