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LogDet Rank Minimization with Application to Subspace Clustering
Low-rank matrix is desired in many machine learning and computer vision problems. Most of the recent studies use the nuclear norm as a convex surrogate of the rank operator. However, all singular values are simply added together by the nuclear norm, and thus the rank may not be well approximated in...
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| Опубликовано в: : | Comput Intell Neurosci |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Hindawi Publishing Corporation
2015
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4504123/ https://ncbi.nlm.nih.gov/pubmed/26229527 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2015/824289 |
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