A novel approach to clustering co-occurrence data poses it as an optimization problem in information theory which minimizes the resulting loss in mutual information. A divisive cl...
We are concerned with the use of Mobile Agents for information retrieval. A multi-agent system is considered; a number of agents are involved in a collective effort to retrieve di...
This paper introduces algorithms for learning how to trade using insider (superior) information in Kyle's model of financial markets. Prior results in finance theory relied o...
An incremental target recognition algorithm based on improved discernibility matrix in rough set theory is presented. We compare the new approach with our previous nonincremental a...
Multimedia information retrieval is a highly diverse field. A variety of data types, research problems, methodologies are involved. Researchers in the field come from very diff...
James Ze Wang, Nozha Boujemaa, Alberto Del Bimbo, ...