Jiahuan Ren

Deep Latent Low-Rank Fusion Network for Progressive Subspace Discovery

Low-rank representation is powerful for recover-ing and clustering the subspace structures, but it cannot obtain deep hierarchical information due to the single-layer mode. In this paper, we present a new and effective strategy to extend the sin-gle-layer latent low-rank models into multi-ple-layers…