Abstract. Search engines have become the most popular tools for finding information on the Internet. A real-world Semantic Web application can benefit from this by combining its ...
Information Retrieval systems can be improved by exploiting context information such as user and document features. This article presents a model based on overlapping probabilistic...
In this paper we present a user-centric summarisation system that combines automatic visual-content analysis with user-interface design features as a practical method for home movi...
Atypical observations, which are called outliers, are one of difficulties to apply standard Gaussian density based pattern classification methods. Large number of outliers makes di...
In this paper we present FIRE, a content-based image retrieval system and the methods we used in the ImageCLEF 2004 evaluation. In FIRE, different features are available to repre...