Addressing label ambiguity imbalance in candidate labels: measures and disambiguation algorithm

DOI10.1016/j.ins.2022.07.175OpenAlexW4294626087WikidataQ113872286 ScholiaQ113872286MaRDI QIDQ6205021

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Publication date: 11 April 2024

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

Full work available at URL: https://doi.org/10.1016/j.ins.2022.07.175

zbMATH Keywords

low-rank representationpartial label learninglabel imbalance

Mathematics Subject Classification ID

Computer science (68-XX) Game theory, economics, finance, and other social and behavioral sciences (91-XX)

Cites Work

• Enhanced low-rank representation via sparse manifold adaption for semi-supervised learning
• Robust subspace segmentation via nonconvex low rank representation
• Noisy label tolerance: a new perspective of partial multi-label learning
• Manifold regularized cross-modal embedding for zero-shot learning
• Maximum margin partial label learning
• Imbalanced Learning
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