Label distribution learning by regularized sample self-representation

DOI10.1155/2018/1090565zbMath1426.62193OpenAlexW2800773379WikidataQ129973869 ScholiaQ129973869MaRDI QIDQ1720364

Hong Zhao, Chan Li, Wen-Yuan Yang

Publication date: 8 February 2019

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2018/1090565

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Uses Software

• SparseLOGREG

Cites Work

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• Relationship between generalized rough sets based on binary relation and covering
• Robust L1-norm two-dimensional linear discriminant analysis
• Unsupervised feature selection by regularized self-representation
• A note on Platt's probabilistic outputs for support vector machines
• Rényi Divergence and Kullback-Leibler Divergence
• Local Rademacher Complexity for Multi-Label Learning
• Deep Label Distribution Learning With Label Ambiguity

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