252 citations · 616 across the 34 of their papers we have counts for
Showing 2016Show all
2 papers · 1 filter
cs.LG2016★ 9 cited
Online Unsupervised Multi-view Feature Selection
Weixiang Shao, Lifang He, Chun-Ta Lu +2
In the era of big data, it is becoming common to have data with multiple modalities or coming from multiple sources, known as "multi-view data". Multi-view data are usually unlabel…
cs.LG2016★ 2 cited
Multi-Source Multi-View Clustering via Discrepancy Penalty
Weixiang Shao, Jiawei Zhang, Lifang He +1
With the advance of technology, entities can be observed in multiple views. Multiple views containing different types of features can be used for clustering. Although multi-view cl…