Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications (The International Series in Video Computing) by Omar Oreifej and Mubarak Shah
English | 2014 | ISBN: 3319041835 | 114 pages | PDF | 4,4 MB
Various fundamental applications in computer vision and machine learning require finding the basis of a certain subspace. Examples of such applications include face detection, motion estimation, and activity recognition. An increasing interest has been recently placed on this area as a result of significant advances in the mathematics of matrix rank optimization.