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Subspace structural constraint-based discriminative feature learning via nonnegative low rank representation
Feature subspace learning plays a significant role in pattern recognition, and many efforts have been made to generate increasingly discriminative learning models. Recently, several discriminative feature learning methods based on a representation model have been proposed, which have not only attrac...
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| Vydáno v: | PLoS One |
|---|---|
| Hlavní autoři: | , , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2019
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6504107/ https://ncbi.nlm.nih.gov/pubmed/31063497 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0215450 |
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