Ad hoc networks may be viewed as computational systems whose members may fail to, or choose not to, comply with the rules governing their behaviour. We are investigating to what ex...
Alexander Artikis, Lloyd Kamara, Jeremy Pitt, Mare...
Normal fuzzy CMAC neural network performs well because of its fast learning speed and local generalization capability for approximating nonlinear functions. However, it requires hu...
Floriberto Ortiz Rodriguez, Wen Yu, Marco A. Moren...
Tracking interacting human body parts from a single two-dimensional view is difficult due to occlusion, ambiguity and spatio-temporal discontinuities. We present a Bayesian networ...
Abstract. The last decades have seen the emergence of the sea of objects paradigm for structuring complex distributed systems on workstations and local area networks. In this appro...
In this paper we present the work undertaken by the Advanced Interfaces Group at the University of Manchester into the design and development of a system to support large numbers ...
Steve Pettifer, Jonathan Cook, James Marsh, Adrian...