Geographic regression models of various descriptions are often applied t...
Evolutionary multi-objective optimization (EMO) algorithms have been
dem...
In this paper, we primarily focus on understanding the data preprocessin...
The locally optimal block preconditioned conjugate gradient (LOBPCG)
alg...
Existing dynamic weighted graph visualization approaches rely on users'
...
Natural language interfaces (NLIs) enable users to flexibly specify
anal...
We propose a mixed precision Jacobi algorithm for computing the singular...
Graph Neural Networks (GNNs) is a promising approach for applications wi...
We present a robust visual-inertial SLAM system that combines the benefi...
In this paper, we deal with the problem of monocular depth estimation fo...
We present a robust and accurate depth refinement system, named GeoRefin...
Graph mining plays a pivotal role across a number of disciplines, and a
...
Many statistical learning models hold an assumption that the training da...
Machine learning models are currently being deployed in a variety of
rea...