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Multi-View Representation Learning With Deep Gaussian Processes
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Shiliang Sun
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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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Stability-based PAC-Bayes analysis for multi-view learning algorithms
Information Fusion, 2022Shiliang Sun, John Shawe-Taylor
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Semi-Supervised Multi-View Deep Discriminant Representation Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021Ziyun Cai, Dong Yue, Xiaodong Jia
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Instance-wise multi-view representation learning
Information Fusion, 2023Wang Bo, Shengpei Wang
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Non-Aligned Multi-View Multi-Label Classification via Learning View-Specific Labels
IEEE Transactions on Multimedia, 2023Dawei Zhao, Dong Sun, Qingwei Gao
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Efficient federated multi-view learning
Pattern Recognition, 2022Shudong Huang +4 more
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Multi-view cost-sensitive kernel learning for imbalanced classification problem
Neurocomputing, 2023Yingjie Tian, Jingjing Tang, Saiji Fu
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Joint representation learning for multi-view subspace clustering
Expert Systems With Applications, 2021Chang-Dong Wang +2 more
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Multi-view learning overview: Recent progress and new challenges
Information Fusion, 2017Shiliang Sun, Xijiong Xie
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