Abstract. This work proposes a family of language-independent semantic kernel functions defined for individuals in an ontology. This allows exploiting wellfounded kernel methods fo...
In this paper, we draw an analogy between image retrieval and text retrieval and propose a visual phrase-based approach to retrieve images containing desired objects. The visual p...
A bayesian network is an appropriate tool for working with uncertainty and probability, that are typical of real-life applications. In literature we find different approaches for b...
Evelina Lamma, Fabrizio Riguzzi, Andrea Stambazzi,...
In this paper, a novel study on system profiles and adaptation of parameters for end-users of content-based indexingandretrieval(CBIR)applicationsarepresented.The main objective of...
As the Web has evolved into a data-rich repository, with the standard "page view," current search engines are increasingly inadequate. While we often search for various ...