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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Detalles Bibliográficos
Autores principales: Guo, Tan, Tan, Xiaoheng, Zhang, Lei, Xie, Chaochen, Deng, Lu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539604/
https://www.ncbi.nlm.nih.gov/pubmed/28640206
http://dx.doi.org/10.3390/s17071475

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5539604/
https://www.ncbi.nlm.nih.gov/pubmed/28640206
http://dx.doi.org/10.3390/s17071475

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