This paper proposes an on-line error detecting method for a manually annotated corpus using min-max modular (M3 ) neural networks. The basic idea of the method is to use guaranteed...
We study the problem of offering publish/subscribe functionality on top of structured overlay networks using data models and languages from IR. We show how to achieve this by ext...
This paper addresses the problem of interactively modeling large street networks. We introduce a modeling framework that uses tensor fields to guide the generation of a street gra...
Guoning Chen, Gregory Esch, Peter Wonka, Pascal M&...
In many applications string pattern matching is one of the most intensive tasks in terms of computation time and memory accesses. Network Intrusion Detection Systems and DNA Seque...
Ivano Bonesana, Marco Paolieri, Marco D. Santambro...
We propose a framework for component-based modeling of distributed systems. It provides separation of concerns between computation (in object oriented components), coordination (vi...