1 citations · 1 across the 2 of their papers we have counts for
4 papers
Pseudo-supervised Deep Subspace Clustering
Juncheng Lv, Zhao Kang, Xiao Lu +1
Auto-Encoder (AE)-based deep subspace clustering (DSC) methods have achieved impressive performance due to the powerful representation extracted using deep neural networks while pr…
Relation-Guided Representation Learning
Zhao Kang, Xiao Lu, Jian Liang +2
Deep auto-encoders (DAEs) have achieved great success in learning data representations via the powerful representability of neural networks. But most DAEs only focus on the most do…
Structure Learning with Similarity Preserving
Zhao Kang, Xiao Lu, Yiwei Lu +2
Leveraging on the underlying low-dimensional structure of data, low-rank and sparse modeling approaches have achieved great success in a wide range of applications. However, in man…
Self-weighted Multiple Kernel Learning for Graph-based Clustering and Semi-supervised Classification
Zhao Kang, Xiao Lu, Jinfeng Yi +1
Multiple kernel learning (MKL) method is generally believed to perform better than single kernel method. However, some empirical studies show that this is not always true: the comb…