In this paper, a novel method to learn the intrinsic object structure for robust visual tracking is proposed. The basic assumption is that the parameterized object state lies on a...
As computational learning agents move into domains that incur real costs (e.g., autonomous driving or financial investment), it will be necessary to learn good policies without n...
The transcripts of oral arguments before the US Supreme Court provide interesting opportunities from the viewpoint of legal education. As the pinnacle of legal argumentation, they...
Many decision problems can be modelled as adversarial constraint satisfaction, which allows us to integrate methods from AI game playing. In particular, by using the idea of oppone...
Local search techniques have attracted considerable interest in the Artificial Intelligence (AI) community since the development of GSAT [9] and the min-conflicts heuristic [5] ...
John Thornton, Matthew Beaumont, Abdul Sattar, Mic...