We use graphical models and structure learning to explore how people learn policies in sequential decision making tasks. Studies of sequential decision-making in humans frequently...
Tracking vehicles in image sequences of innercity road traffic scenes still constitutes a challenging task. Even if a-priori knowledge about the 3D shape of vehicles, of backgroun...
Our research works are interested in the identification and the representation of the semantic structures of multimedia documents. The semantic structure of a multimedia document ...
Abstract. Autonomic computing is being advocated as a tool for maintaining and managing large, complex computing systems. Self-organising multi-agent systems provide a suitable par...
Ramachandra Kota, Nicholas Gibbins, Nicholas R. Je...
Graphical models provide a powerful formalism for statistical signal processing. Due to their sophisticated modeling capabilities, they have found applications in a variety of fie...
V. Chandrasekaran, Jason K. Johnson, Alan S. Wills...