In this paper we address the object recognition problem in a probabilistic framework to detect and describe object appearance through image features organized by means of active c...
The issue of graph recognition has been not always investigated until today though the subjects on the document image understanding are very interest and have proposed many method...
Abstract. Can we model the temporal evolution of topics in Web image collections? If so, can we exploit the understanding of dynamics to solve novel visual problems or improve reco...
We introduce the Ranked Feature Fusion framework for information retrieval system design. Typical information retrieval formalisms such as the vector space model, the bestmatch mo...
Discursive-based analysis of organizations is not new in the field of interpretive social studies. Since not long ago have information systems (IS) studies also shown a keen inter...