6 citations · 7 across the 4 of their papers we have counts for
4 papers
Matrix Variate RBM Model with Gaussian Distributions
Simeng Liu, Yanfeng Sun, Yongli Hu +2
Restricted Boltzmann Machine (RBM) is a particular type of random neural network models modeling vector data based on the assumption of Bernoulli distribution. For multi-dimensiona…
Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications
Haoran Chen, Yanfeng Sun, Junbin Gao +2
Partial least squares regression (PLSR) has been a popular technique to explore the linear relationship between two datasets. However, most of algorithm implementations of PLSR may…
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…
Relations among Some Low Rank Subspace Recovery Models
Hongyang Zhang, Zhouchen Lin, Chao Zhang +1
Recovering intrinsic low dimensional subspaces from data distributed on them is a key preprocessing step to many applications. In recent years, there has been a lot of work that mo…