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Block-Diagonal Constrained Low-Rank and Sparse Graph for Discriminant Analysis of Image Data
Recently, low-rank and sparse model-based dimensionality reduction (DR) methods have aroused lots of interest. In this paper, we propose an effective supervised DR technique named block-diagonal constrained low-rank and sparse-based embedding (BLSE). BLSE has two steps, i.e., block-diagonal constrai...
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| Publicado no: | Sensors (Basel) |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
MDPI
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5539604/ https://ncbi.nlm.nih.gov/pubmed/28640206 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s17071475 |
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