Handbook of Robust Low-Rank and Sparse Matrix Decomposition

<p>This handbook provides a complete overview of the concepts theories algorithms and applications related to robust low-rank and sparse matrix decompositions. It offers a framework for computer vision applications including image processing and video surveillance and describes many methods and algorithms to tackle different formulation proble