6 citations · 15 across the 4 of their papers we have counts for
4 papers
Shared Generative Latent Representation Learning for Multi-view Clustering
Ming Yin, Weitian Huang, Junbin Gao
Clustering multi-view data has been a fundamental research topic in the computer vision community. It has been shown that a better accuracy can be achieved by integrating informati…
Low-rank Multi-view Clustering in Third-Order Tensor Space
Ming Yin, Junbin Gao, Shengli Xie +1
The plenty information from multiple views data as well as the complementary information among different views are usually beneficial to various tasks, e.g., clustering, classifica…
Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices
Ming Yin, Shengli Xie, Yi Guo +2
Due to its promising classification performance, sparse representation based classification(SRC) algorithm has attracted great attention in the past few years. However, the existin…
Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds
Ming Yin, Yi Guo, Junbin Gao +2
Sparse subspace clustering (SSC), as one of the most successful subspace clustering methods, has achieved notable clustering accuracy in computer vision tasks. However, SSC applies…