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...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Ao, Liu, Xin, Wang, Yanbing, Chen, Deyun, Lin, Kezheng, Sun, Guanglu, Jiang, Hailong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6504107/
https://www.ncbi.nlm.nih.gov/pubmed/31063497
http://dx.doi.org/10.1371/journal.pone.0215450

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6504107/
https://www.ncbi.nlm.nih.gov/pubmed/31063497
http://dx.doi.org/10.1371/journal.pone.0215450

Ejemplares similares