3 citations · 7 across the 9 of their papers we have counts for
Showing 2018 · stat.MEShow all
3 papers · 2 filters
stat.ME2018
Matrix Linear Discriminant Analysis
Wei Hu, Weining Shen, Hua Zhou +1
We propose a novel linear discriminant analysis approach for the classification of high-dimensional matrix-valued data that commonly arises from imaging studies. Motivated by the e…
stat.ME2018
Regularized matrix data clustering and its application to image analysis
Xu Gao, Weining Shen, Hernando Ombao
In this paper, we propose a regularized mixture probabilistic model to cluster matrix data and apply it to brain signals. The approach is able to capture the sparsity (low rank, sm…
stat.ME2018
Generalized probabilistic principal component analysis of correlated data
Mengyang Gu, Weining Shen
Principal component analysis (PCA) is a well-established tool in machine learning and data processing. The principal axes in PCA were shown to be equivalent to the maximum marginal…