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Paperback Robust Subspace Estimation Using Low-Rank Optimization: Theory and Applications Book
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ISBN: 3319352482

ISBN13: 9783319352480

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

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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...

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Computers Computers & Technology

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