Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
Chintan A. Shah, Manoj K. Arora, Stefan A. Robila,...
The World Wide Web, due to its sheer size and dynamics, has turned into one of the most fascinating and important data sources for large-scale analysis and investigation, ranging ...
Andreas Rauber, Oliver Witvoet, Andreas Aschenbren...
: In this paper we present our most recent work carried out in the wider context of the IST-ADRENALIN project, to facilitate formation and lifecycle management of networked enterpr...
Apostolos Vontas, Philippos Koutsakas, Christina A...
This paper describes a unique robotics project, Comprehensive Access to Printed Materials (CAPM), within the context of libraries. As libraries provide a growing array of digital ...
Abstract. In this paper we present a concrete case study in which semantic technology has been used to enable a territorial innovation. Firstly, we describe a scenario of the ICT r...
Pavel Shvaiko, Alessandro Oltramari, Roberta Cuel,...