XL, dynamic interest modeling, and distributed stream computing to analyze large-scale e-commerce user behavior. By improving long-sequence prediction, real-time processing, and behavioral clustering, ...

Although it is in PyTorch, our implementation performs loops across voxels and hence quite slow. Moreover, it takes masks as an input and therefore does not allow backpropagation.

Abstract: In this article, we present an efficient unified algorithm for the minimum Euclidean distance between two collections of compact convex sets, each of which can be a collection of convex ...

This article presents a novel target tracking algorithm for hyperspectral low altitude UAV, combining deep learning with an improved Kernelized Correlation Filter (KCF). Initially, an image noise ...

1 China National Tobacco Quality Supervision and Test Center, Zhengzhou, China. 2 Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, China. 3 University of Science and ...

1 Investment Bank Department, Chengdu Agricultural and Commercial Bank, Chengdu, China. 2 School of Management and Economics, University of Electronic Science and Technology of China, Chengdu, China.

The IMED is the Euclidean distance (ED) applied to a transformed version of an image or n-dimensional volume that has image-like correlation along axes. It solves some of the shortcommings of using ...