We study the concept of choice for true concurrency models such as prime event structures and safe Petri nets. We propose a dynamic variation of the notion of cluster previously in...
In medical research, being able to justify decisions is generally as important as taking the right ones. Interpretability is then one of the chief characteristics a learning algor...
Abstract. Correction of building height effects is a critical step in image interpretation from aerial imagery in urban area. In this paper, an efficient scheme to correct building...
Hong-Gyoo Sohn, Kong-Hyun Yun, Gi-Hong Kim, Hyo Su...
In this paper, XfaceEd, our open source, platform independent tool for authoring 3D embodied conversational agents (ECAs) is presented. Following MPEG-4 Facial Animation (FA) stan...
Abstract. In supervised learning, discretization of the continuous explanatory attributes enhances the accuracy of decision tree induction algorithms and naive Bayes classifier. M...