Abstract. Reservoir computing approaches have been successfully applied to a variety of tasks. An inherent problem of these approaches, is, however, their variation in performance ...
We address the problem of merging qualitative constraints networks (QCNs). We point out a merging algorithm which computes a consistent QCN representing a global view of the input...
Efficient and fair resource allocation associated with congestion control in multi-hop cognitive radio networks (CRN) is a challenging problem. In this paper, we consider their mu...
Approaches based on local features and descriptors are increasingly used for the task of object recognition due to their robustness with regard to occlusions and geometrical defor...
— We consider the problem of broadcasting a live stream of data in an unstructured network. Broadcasting has been studied extensively for networks with capacity constraints at th...