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Sharable and Individual Multi-View Metric Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018This paper presents a sharable and individual multi-view metric learning (MvML) approach for visual recognition. Unlike conventional metric leaning methods which learn a distance metric on either a single type of feature representation or a concatenated representation of multiple types of features, the proposed MvML jointly learns an optimal ...
Junlin Hu 0001, Jiwen Lu, Yap-Peng Tan
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Multi-view Positive and Unlabeled Learning.
2014Learning with Positive and Unlabeled instances (PU learning) arises widely in information retrieval applications. To address the unavailability issue of negative instances, most existing PU learning approaches require to either identify a reliable set of negative instances from the unlabeled data or estimate probability densities as an intermediate ...
Joey Tianyi Zhou +3 more
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Semi-Supervised Multi-View Deep Discriminant Representation Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Xiaodong Jia +2 more
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Multi-View Representation Learning With Deep Gaussian Processes
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Shiliang Sun, Wenbo Dong
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Instance-wise multi-view representation learning
Information Fusion, 2023Haibao Wang, Yufeng Wang
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Stability-based PAC-Bayes analysis for multi-view learning algorithms
Information Fusion, 2022Shiliang Sun, John Shawe-Taylor
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Joint representation learning for multi-view subspace clustering
Expert Systems With Applications, 2021Guang-Yu Zhang +2 more
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Multi-view cost-sensitive kernel learning for imbalanced classification problem
Neurocomputing, 2023Jingjing Tang, Saiji Fu
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Deep multi-view learning methods: A review
Neurocomputing, 2021Xiaoqiang Yan, Shizhe Hu, Yiqiao Mao
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Non-Aligned Multi-View Multi-Label Classification via Learning View-Specific Labels
IEEE Transactions on Multimedia, 2023Dawei Zhao, Qingwei Gao, Yixiang Lu
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