Networks on chip platforms offer the opportunity to introduce a new abstraction level that defines a set of platform services with performance and power characteristics. By making...
This work aims to propose an interactive method for a iconic and textual annotation of digital mammograms. The suggested annotation tool consists of a semantic network to represent...
We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
: Like other latent evidence that cannot be directly perceived by people, bit sequences have to be presented through tools. Presentations of digital forensic evidence often involve...
We present a unified framework for reasoning about worst-case regret bounds for learning algorithms. This framework is based on the theory of duality of convex functions. It brin...