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LR Survey PDF

24 Pages·2016·English
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by ['Vanidevi Mani']| 2016| 24 pages| English

About LR Survey

The document provides an overview of techniques for recovering low-rank matrices from incomplete observations. It discusses how low-rank matrices arise in many applications and introduces the problem of matrix recovery. It then surveys the most commonly used algorithms for solving this problem and theoretical guarantees for different observation models, including random projections and matrix completion.

Detailed Information

Author:['Vanidevi Mani']
Publication Year:2016
Pages:24
Language:English
Format:PDF
Price:FREE
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