Relations Among Some Low-Rank Subspace Recovery Models
Recovering intrinsic low-dimensional subspaces from data distributed on them is a key preprocessing step to many applications. In recent years, a lot of work has modeled subspace recovery as low-rank minimization problems. We find that some representative models, such as robust principal component a...
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| Vydané v: | Neural computation Ročník 27; číslo 9; s. 1915 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
United States
01.09.2015
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| ISSN: | 1530-888X, 1530-888X |
| On-line prístup: | Zistit podrobnosti o prístupe |
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