In this paper we present a novel, ontology-based approach to service discovery, which exploits domain knowledge and semantic service descriptions to guide the service discovery pr...
Devis Bianchini, Valeria De Antonellis, Michele Me...
The unprecedented growth of data at geographically distributed locations coupled with tremendous improvement in networking capabilities over the last decade strongly motivate the ...
Bayesian Network (BN) is a powerful network model, which represents a set of variables in the domain and provides the probabilistic relationships among them. But BN can handle dis...
Large amount of images need an efficient way of retrieving them. The usual approach of manually annotating images and/or providing a syntactic retrieval capability lacks flexibi...
We study the problem of affective content analysis. In this paper we think of affective contents as those video/audio segments, which may cause an audience’s strong reactions or...