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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: | |
| Price: | FREE |
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