Shusen Wang

Towards More Efficient SPSD Matrix Approximation and CUR Matrix Decomposition

2015 · arXiv (Cornell University)

Symmetric positive semi-definite (SPSD) matrix approximation methods have been extensively used to speed up large-scale eigenvalue computation and kernel learning methods. The standard sketch based method, which we call the prototype model, produces relatively accurate …

Research on Object Detection Method of Four-Electric Equipment in Rail Transit Based on Yolo

2022 · 2022 International Conference on Image Processing, Computer Vision and Machine Learning (ICICML)

Rail transit is a complex system, there will always be a variety of errors in the actual project to bring unnecessary losses. This research aims to increase users’ understanding of equipment by detecting the types …