We combine three threads of research on approximate dynamic programming: sparse random sampling of states, value function and policy approximation using local models, and using lo...
Learning the knowledge of scene structure and tracking a large number of targets are both active topics of computer vision in recent years, which plays a crucial role in surveilla...
Xuan Song, Xiaowei Shao, Huijing Zhao, Jinshi Cui,...
We present SpiCO, a new modeling and simulation language for systems biology. SpiCO is based on the stochastic π-calculus. It supports higher level modeling via multi-profile con...
Due to the large amount of mobile devices that continue to appear on the consumer market, mobile user interface design becomes increasingly important. The major issue with many ex...
Geo-sciences involve large-scale parallel models, high resolution real time data from highly asynchronous and heterogeneous sensor networks and instruments, and complex analysis a...