2 citations · 4 across the 8 of their papers we have counts for
4 papers · 1 filter
Modeling Brain Connectivity with Graphical Models on Frequency Domain
Xu Gao, Weining Shen, Chee-Ming Ting +3
Multichannel electroencephalograms (EEGs) have been widely used to study cortical connectivity during acquisition of motor skills. In this paper, we introduce copula Gaussian graph…
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…
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…
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…