Microbiome research is now moving beyond the compositional analysis of
m...
Variable selection methods with nonlocal priors have been widely studied...
We consider the joint inference of regression coefficients and the inver...
Human motion prediction aims to predict future 3D skeletal sequences by
...
In many applications, data often arise from multiple groups that may sha...
Human pose estimation is the task of localizing body keypoints from stil...
We consider the joint sparse estimation of regression coefficients and t...
In this paper, we consider high-dimensional Gaussian graphical models wh...
We consider Bayesian logistic regression models with group-structured
co...
In this work, we propose a novel framework named Region-Aware Network (R...
Estimation of the covariance matrix for high-dimensional multivariate
da...
Covariance estimation and selection for multivariate datasets in a
high-...
We present a novel 3D face reconstruction technique that leverages spars...
Depth from defocus (DfD) and stereo matching are two most studied passiv...