The Gaussian graphical model (GGM) incorporates an undirected graph to
r...
We focus on the problem of market making in high-frequency trading. Mark...
In various practical situations, matrix factorization methods suffer fro...
We propose to learn a generative model via entropy interpolation with a
...
Automatic blood vessel extraction from 3D medical images is crucial for
...
Although there is a wide use of technical trading rules in stock markets...
More and more enterprises recently intend to deploy data management syst...
To address the challenges in learning deep generative models (e.g.,the
b...
Detecting interaction effects is a crucial step in various applications....
The results from Genome-Wide Association Studies (GWAS) on thousands of
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In Genome-Wide Association Studies (GWAS) where multiple correlated trai...
In this study, we consider the problem of variable selection and estimat...
A large number of recent genome-wide association studies (GWASs) for com...
In this paper, we consider a Bayesian bi-level variable selection proble...
Most of the proposed person re-identification algorithms conduct supervi...
Background subtraction has been a fundamental and widely studied task in...
Low-rank modeling generally refers to a class of methods that solve prob...
Object detection is a fundamental step for automated video analysis in m...