Hyperplane-based nonnegative matrix factorization with label information

DOI10.1016/j.ins.2019.04.026zbMath1451.68232OpenAlexW2935791181MaRDI QIDQ2215002

De Chen, Dong Xu, Xin-Jun Peng

Publication date: 10 December 2020

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2019.04.026

zbMATH Keywords

hyperplanenonnegative matrix factorizationsemi-supervised learninglabel information

Mathematics Subject Classification ID

Factorization of matrices (15A23) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (4)

Robust distribution-based nonnegative matrix factorizations for dimensionality reduction ⋮ Robust Manhattan non-negative matrix factorization for image recovery and representation ⋮ Dual semi-supervised convex nonnegative matrix factorization for data representation ⋮ Robust sparse coding via self-paced learning for data representation

Cites Work

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• Convex nonnegative matrix factorization with manifold regularization
• Principal component analysis.
• Constructing a Nonnegative Low-Rank and Sparse Graph With Data-Adaptive Features
• Learning the parts of objects by non-negative matrix factorization

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