We present an artificial neural network used to learn online complex temporal sequences of gestures to a robot. The system is based on a simple temporal sequences learning architec...
When modelling complex interactive systems, traditional interactor-based approaches suffer from lack of expressiveness regarding the composition of the different interactors pre...
We propose a generic algorithmic model called STAMP (Synchronous, Transactional, and Asynchronous MultiProcessing) as a universal performance and power complexity model for multit...
Derived horizontal fragmentation is one of the main database distribution design techniques. Unlike primary horizontal fragmentation, the decision of derived horizontal fragmentat...
We propose a new complexity modeling framework for multimedia tasks. We characterize the traffic with five parameters that together we designate as a task's complexity specif...