Multi-Task Multi-View Clustering for Non-Negative Data

By Xianchao Zhang, Xiaotong Zhang, 刘晗. 2015

40 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Yu Zhang
2. Qiang Yang
3. Xiaotong Zhang
4. Xianchao Zhang
5. 刘晗
6. Jing Zhao
7. Xinyue Liu
8. Xin Xu

Citations in the corpus

• A Survey on Multi-Task Learning (2017, background): “Different from [143], [144] which study the multi-task multi-view classification problem, in [145], [146], two multi-task multi-view clustering methods are proposed and both methods consider three factors: within-view-task clustering which conducts clustering on each view in a task, view relation le”
• Multi-view clustering: A survey (2018, unknown): “Moreover, Zhang et al.[173, 174] presented an M(2)vC framework, which integrates within-view-task”
• Multi-Task Multi-View Clustering (2016, background): “A preliminary version of this paper was presented in proceedings of the 24th IJCAI conference (IJCAI-15) [8].”
• Multi-view learning overview: Recent progress and new challenges (2017, background): “[34] introduced an MTMV clustering framework which integrates within view-task clustering, multi-view relationship learning and multi-task relationship learning.”
• A Survey on Multi-View Clustering (2017, unknown): “In addition, multi-task clustering and multi-view clustering can be conducted simultaneously to improve the clustering performance [37], [50].”