A novel method of incorporating shape information into the image segmentation process is presented. We introduce a representation for deformable shapes and define a probability di...
Michael E. Leventon, W. Eric L. Grimson, Olivier D...
Multiple instance learning (MIL) is a branch of machine learning that attempts to learn information from bags of instances. Many real-world applications such as localized content-...
Protocols specifying business interactions among autonomous parties enable reuse and promote interoperability. A protocol is specified from a global viewpoint, but enacted in a di...
We explore the relationship between properties of the network defined by connected agents and the global system performance. This is achieved by means of a novel class of optimiza...
In order to obtain semantic interoperability in open MultiAgent Systems, agents need to agree on the basis of different ontologies. In this paper we formally define mapping as cor...