18 citations · 46 across the 6 of their papers we have counts for
4 papers · 1 filter
Semi-supervised Deep Representation Learning for Multi-View Problems
Vahid Noroozi, Sara Bahaadini, Lei Zheng +3
While neural networks for learning representation of multi-view data have been previously proposed as one of the state-of-the-art multi-view dimension reduction techniques, how to…
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…
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…
Clustering on Multiple Incomplete Datasets via Collective Kernel Learning
Weixiang Shao, Xiaoxiao Shi, Philip S. Yu
Multiple datasets containing different types of features may be available for a given task. For instance, users' profiles can be used to group users for recommendation systems. In…