Robust Generalized Low Rank Approximations of Matrices

In recent years, the intrinsic low rank structure of some datasets has been extensively exploited to reduce dimensionality, remove noise and complete the missing entries. As a well-known technique for dimensionality reduction and data compression, Generalized Low Rank Approximations of Matrices (GLR...

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Detalles Bibliográficos
Autores principales: Shi, Jiarong, Yang, Wei, Zheng, Xiuyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4569376/
https://www.ncbi.nlm.nih.gov/pubmed/26367116
http://dx.doi.org/10.1371/journal.pone.0138028

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4569376/
https://www.ncbi.nlm.nih.gov/pubmed/26367116
http://dx.doi.org/10.1371/journal.pone.0138028

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