Deep multi-view learning methods: A review

X Yan, S Hu, Y Mao, Y Ye, H Yu - Neurocomputing, 2021 - Elsevier
Multi-view learning (MVL) has attracted increasing attention and achieved great practical
success by exploiting complementary information of multiple features or modalities …

A review on semi-supervised clustering

J Cai, J Hao, H Yang, X Zhao, Y Yang - Information Sciences, 2023 - Elsevier
Abstract Semi-supervised clustering (SSC), a technique integrating semi-supervised
learning and clustering analysis, incorporates the given prior information (eg, class labels …

Dual contrastive prediction for incomplete multi-view representation learning

Y Lin, Y Gou, X Liu, J Bai, J Lv… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
In this article, we propose a unified framework to solve the following two challenging
problems in incomplete multi-view representation learning: i) how to learn a consistent …

Fast parameter-free multi-view subspace clustering with consensus anchor guidance

S Wang, X Liu, X Zhu, P Zhang, Y Zhang… - … on Image Processing, 2021 - ieeexplore.ieee.org
Multi-view subspace clustering has attracted intensive attention to effectively fuse multi-view
information by exploring appropriate graph structures. Although existing works have made …