Latent Complete Row Space Recovery for Multi-view Subspace Clustering

no code implementations • 16 Dec 2019 • Hong Tao, Chenping Hou, Yuhua Qian, Jubo Zhu, Dongyun Yi

LCRSR is able to recover the row space of the latent representation, which not only carries complete information from multiple views but also determines the subspace membership under certain conditions.

Clustering graph construction +1

Joint Embedding Learning and Low-Rank Approximation: A Framework for Incomplete Multi-view Learning

no code implementations • 25 Dec 2018 • Hong Tao, Chenping Hou, Dongyun Yi, Jubo Zhu, Dewen Hu

More interestingly, some linear transformation based complete multi-view methods can be adapted to IML directly with the guidance of the framework.

Clustering MULTI-VIEW LEARNING

Effective Discriminative Feature Selection with Non-trivial Solutions

no code implementations • 21 Apr 2015 • Hong Tao, Chenping Hou, Feiping Nie, Yuanyuan Jiao, Dongyun Yi

In this paper, a feature selection method is proposed by combining the popular transformation based dimensionality reduction method Linear Discriminant Analysis (LDA) and sparsity regularization.

Dimensionality Reduction feature selection