1. A review on multi-label learning algorithms;Zhang;IEEE Trans. Knowl. Data Eng.,2014
2. Mining multi-label data;Tsoumakas,2009
3. Towards a unified multi-source-based optimization framework for multi-label learning;Zhang;Appl. Soft Comput.,2019
4. Ruihuang Li, Changqing Zhang, Huazhu Fu, Xi Peng, Tianyi Zhou, Qinghua Hu, Reciprocal multi-layer subspace learning for multi-view clustering, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019, pp. 8172–8180.
5. Multiview latent space learning with feature redundancy minimization;Zhou;IEEE Trans. Cybern.,2018