We present a generalization of frequent itemsets allowing the notion of errors in the itemset definition. We motivate the problem and present an efficient algorithm that identifie...
An essential part of any boundary value problem is the domain on which the problem is defined. The domain is often given by scanning or another digital image technique with limited...
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
We consider a centralised (client-server) digital TV network with heterogeneous receiver devices of different resolutions, requiring a multi-rate transport system. There exist two ...
This paper presents a new approach to the tracking of regions in an image sequence. Unlike most other methods, the proposed approach can handle topology changes, i.e., regions may...
Abdol-Reza Mansouri, Antoine Olivier, Janusz Konra...