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Image-based Lagrangian Particle Tracking in Bed-load Experiments
Published on: July 20, 2017
Fangyikang Wang1, Huminhao Zhu1, Chao Zhang1
1College of Computer Science and Technology, Zhejiang University, Hangzhou 310058, China.
基于粒子的变量推理 (ParVI) 方法得到了新的通用加速动态重量基于粒子的变量推理 (GAD-PVI) 框架的增强. 在贝叶斯推理任务中,GAD-PVI实现了更快的融合和更低的近似误差.
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