20 citations · 28 across the 2 of their papers we have counts for
3 papers
cs.LG2019★ 20 cited
Doubly Aligned Incomplete Multi-view Clustering
Menglei Hu, Songcan Chen
Nowadays, multi-view clustering has attracted more and more attention. To date, almost all the previous studies assume that views are complete. However, in reality, it is often the…
cs.LG2019★ 8 cited
One-Pass Incomplete Multi-view Clustering
Menglei Hu, Songcan Chen
Real data are often with multiple modalities or from multiple heterogeneous sources, thus forming so-called multi-view data, which receives more and more attentions in machine lear…
cs.LG2018
Multi-target Unsupervised Domain Adaptation without Exactly Shared Categories
Huanhuan Yu, Menglei Hu, Songcan Chen
Unsupervised domain adaptation (UDA) aims to learn the unlabeled target domain by transferring the knowledge of the labeled source domain. To date, most of the existing works focus…