Robust auto-weighted multi-view subspace clustering with common subspace representation matrix

In many computer vision and machine learning applications, the data sets distribute on certain low-dimensional subspaces. Subspace clustering is a powerful technology to find the underlying subspaces and cluster data points correctly. However, traditional subspace clustering methods can only be appl...

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Detalles Bibliográficos
Autores principales: Zhuge, Wenzhang, Hou, Chenping, Jiao, Yuanyuan, Yue, Jia, Tao, Hong, Yi, Dongyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5441581/
https://www.ncbi.nlm.nih.gov/pubmed/28542234
http://dx.doi.org/10.1371/journal.pone.0176769

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5441581/
https://www.ncbi.nlm.nih.gov/pubmed/28542234
http://dx.doi.org/10.1371/journal.pone.0176769

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