This paper presents a novel theory for learning generic prior models from a set of observed natural images based on a minimax entropy theory that the authors studied in modeling t...
Efficient discover of association rules in large databases is a we 1 studied problem and several ap-1y proaches have been proposed. However, it is non trivial to maintain the asso...
Whilst Augmented Reality (AR) has been a prevalent research topic it has proved difficulty to implement and apply in commercial situations as it generally requires complex and exp...
This paper presents a system which learns from examples to automatically recognize people and estimate their poses in image sequences with the potential application to daily surve...
We describe UCFTAC, a trading agent based on control based principles, which has participated with success in 2006 Supply Chain Management Trading Agent Competition. The UCFTAC ap...