We present an active learning framework to simultaneously learn appearance and contextual models for scene understanding tasks (multi-class classification). Existing multi-class a...
Multi-agent teamwork is critical in a large number of agent applications, including training, education, virtual enterprises and collective robotics. The complex interactions of ag...
Ranjit Nair, Milind Tambe, Stacy Marsella, Taylor ...
We present a visual language for strategies in game theory, which has potential applications in economics, social sciences, and in general science education. This language facilit...
Information Systems UI (User Interface) generation from declarative models has been the focus of numerous and various approaches in the human computer interaction community. Typic...
This paper1 provides a view of modeling the information dominance problem of military systems as representative of modeling other complex systems. The ideas are an extension of ea...