Deep low-rank matrix factorization with latent correlation estimation for micro-video multi-label classification

DOI10.1016/J.INS.2021.07.021zbMath1528.62034OpenAlexW3180072764WikidataQ114167417 ScholiaQ114167417MaRDI QIDQ6066010

Junyu Xu, Fugui Fan, Daozheng Hong, Yuting Su, Peiguang Jing, Jing Zhang

Publication date: 11 December 2023

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

Full work available at URL: https://doi.org/10.1016/j.ins.2021.07.021

zbMATH Keywords

multi-label learninglow-rank constraintlabel correlationdeep matrix factorizationmicro-video

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Factorization of matrices (15A23) Learning and adaptive systems in artificial intelligence (68T05)

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Cites Work

• Feature selection for multi-label naive Bayes classification
• ML-KNN: A lazy learning approach to multi-label learning
• Multilabel classification via calibrated label ranking
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• Weakly Supervised Deep Matrix Factorization for Social Image Understanding
• Neural Multimodal Cooperative Learning Toward Micro-Video Understanding
• Learning the parts of objects by non-negative matrix factorization
• Fast Semantic Diffusion for Large-Scale Context-Based Image and Video Annotation

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