Semi-supervised classification based on low rank representation

DOI10.3390/a9030048zbMath1461.62098OpenAlexW2493470968MaRDI QIDQ1736817

Guangjun Yao, Jun Wang, Xuan Hou

Publication date: 26 March 2019

Published in: Algorithms (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.3390/a9030048

zbMATH Keywords

low-rank representationsemi-supervised classificationgraph construction

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Applications of graph theory (05C90) Graph theory (including graph drawing) in computer science (68R10) Knowledge representation (68T30)

Related Items

An auto-adjustable semi-supervised self-training algorithm

Uses Software

• CMU PIE
• AR face

Cites Work

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