Selecting the Best Part From Multiple Laplacian Autoencoders for Multi-View Subspace Clustering

The multi-view subspace clustering attracts much attention in recent years. Most methods follow the framework of fusing the affinity graph learned in each view. In this framework, both the fusion strategy and built graph of each view are very important. In this paper, we propose novel methods for mu...

Ausführliche Beschreibung