Statistical models in machine translation exhibit spurious ambiguity. That is, the probability of an output string is split among many distinct derivations (e.g., trees or segment...
This paper considers the problem of performing decentralised coordination of low-power embedded devices (as is required within many environmental sensing and surveillance applicat...
Alessandro Farinelli, Alex Rogers, Adrian Petcu, N...
In this paper, we introduce a toolkit called SceneMaker for authoring scenes for adaptive, interactive performances. These performances are based on automatically generated and pr...
Patrick Gebhard, Michael Kipp, Martin Klesen, Thom...
This paper describes a new learning by example mechanism and its application for digital circuit design automation. This mechanism uses finite state machines to represent the infer...
We describe a real-time, component-based system for an inspection application. We chose the inspection application and the accompanying task (or scenario) so that we might fully e...