In many areas of computer science ontologies become more and more important. The use of ontologies for domain modeling often brings up the issue of ontology integration. The task o...
—Reinforcement learning is a framework in which an agent can learn behavior without knowledge on a task or an environment by exploration and exploitation. Striking a balance betw...
Zhengqiao Ji, Q. M. Jonathan Wu, Maher A. Sid-Ahme...
A growing body of research is investigating the use of tabletop displays, in particular to support collaborative work. People often interact directly with these displays, typicall...
: Agent-based simulation can be viewed as methodical advancement and generalization of microscopic modelling styles in object-oriented and discrete event simulation well suited for...
Hand detection and tracking play important roles in human computer interaction (HCI) applications, as well as surveillance. We propose a self initializing and self correcting trac...