We consider the problem of learning to attain multiple goals in a dynamic environment, which is initially unknown. In addition, the environment may contain arbitrarily varying ele...
In this paper, we show that the LVQ learning algorithm converges to locally asymptotic stable equilibria of an ordinary differential equation. We show that the learning algorithm ...
We introduce an algorithm for the automatic computation of global parameterizations on arbitrary simplicial 2manifolds, whose parameter lines are guided by a given frame field, f...
Abstract. The epsilon-inflation proved to be useful and necessary in many verification algorithms. Different definitions of an epsilon-inflation are possible, depending on the...
Abstract. Gharavi-Alkhansari [1] proposed a full-search equivalent algorithm for speeding-up template matching based on Lp-norm distance measures. This algorithm performs a pruning...
Stefano Mattoccia, Federico Tombari, Luigi di Stef...