Abstract: Aiming at the problem of weak invisible dot matrix data being interfered by the background in the process of reading, which leads to the accuracy and slow speed of the reading algorithm, and ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most challenging tasks in numerical ...

Dozens of machine learning algorithms require computing the inverse of a matrix. Computing a matrix inverse is conceptually easy, but implementation is one of the most difficult tasks in numerical ...

The Rotating Detonation Engine being developed by Pratt & Whitney has no moving parts, which reduces complexity and costs, and could help enable high-speed, long-range flight with increased efficiency ...

With the increasing demand for the refined management of residential loads, the study of the non-invasive load monitoring (NILM) technologies has attracted much attention in recent years. This paper ...

Abstract: A continuous orthogonal moment is chosen as an image feature descriptor, and a rotation correction algorithm is proposed that can accommodate any order and repetition. In order to ...

This is a Python + OpenCV implementation of the Vanishing Point algorithm by Xiaohu Lu et al. - http://xiaohulugo.github.io/papers/Vanishing_Point_Detection_WACV2017.pdf ...