Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications

by Mubarak Shah and Omar Oreifej

Book Overview

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. Interestingly, robust subspace estimation can be posed as a low-rank optimization...

• Format: Paperback
• Language: English
• ISBN: 3319352482
• ISBN13: 9783319352480
• Release Date: August 2016
• Publisher: Springer
• Length: 114 Pages
• Weight: 0.40 lbs.
• Dimensions: 0.3" x 6.1" x 9.2"