The goal of Reinforcement learning (RL) is to maximize reward (minimize cost) in a Markov decision process (MDP) without knowing the underlying model a priori. RL algorithms tend ...
Adaptive fusion of new information in a 3D urban scene is an important goal to achieve in computer vision, graphics, and visualization. In this work we acquire new image pairs of ...
— This paper presents a graphical approach to model XML documents based on a Data Type Documentation called Graphical Notations-Data Type Documentation (GN-DTD). GN-DTD allows us...
We present GPUQP, a relational query engine that employs both CPUs and GPUs (Graphics Processing Units) for in-memory query co-processing. GPUs are commodity processors traditiona...
Rui Fang, Bingsheng He, Mian Lu, Ke Yang, Naga K. ...
The paper presents a novel hierarchical approach to test pattern generation for sequential circuits based on an input model of mixed-level decision diagrams. A method that handles,...