In this paper, we consider the clustering of resources on large scale platforms. More precisely, we target parallel applications consisting of independant tasks, where each task is...
Olivier Beaumont, Nicolas Bonichon, Philippe Ducho...
Various problems in machine learning, databases, and statistics involve pairwise distances among a set of objects. It is often desirable for these distances to satisfy the propert...
Spiral Architecture is a relatively new and powerful approach to general purpose machine vision system. It contains very useful geometric and algebraic properties. Two algebraic o...
We introduce our research approach to investigating real world intelligence by building 'Remote-Brained Robots'. The key idea is that of interfacing AI systems with real...
We propose a method of compiling circumscription into Extended Logic Programs which is widely applicable to a class of parallel circumscription as well as a class of prioritized c...