This paper focuses on developing a reduction-based algebraic multigrid m...
Object detection on Lidar point cloud data is a promising technology for...
Labeling datasets for supervised object detection is a dull and
time-con...
For several classes of mathematical models that yield linear systems, th...
Active learning as a paradigm in deep learning is especially important i...
Current state-of-the-art deep neural networks for image classification a...
A common way to approximate F(A)b – the action of a matrix function on a...
A widely used approach to compute the action f(A)v of a matrix function
...
In object detection with deep neural networks, the box-wise objectness s...
Multigrid methods have proven to be an invaluable tool to efficiently so...
It is customary to identify sparse matrices with the corresponding adjac...
The quadratic numerical range W^2(A) is a subset of the standard numeric...
In many applications the process of generating label information is expe...