In this paper we propose novel optimization models for the planning of Wireless Mesh Networks whose objective is to minimize the network installation cost, while providing full cov...
Edoardo Amaldi, Antonio Capone, Matteo Cesana, Fed...
This paper addresses software plasticity, i.e. the ability of interactive systems to adapt to context of use while preserving user-centered properties. In plasticity, a classical a...
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Abstract. The following paper proposes a new kind of relevance feedback. It shows how so called query profiles can be employed for disambiguation and clarification. Query profiles ...
Abstract. We applied different clustering algorithms to the task of clustering multi-word terms in order to reflect a humanly built ontology. Clustering was done without the usual ...