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...
QRISTAL [9] is a question answering system making intensive use of natural language processing both for indexing documents and extracting answers. It ranked first in the EQueR eva...
Abstract. The problem of nding documents that are written in a language that the searcher cannot read is perhaps the most challenging application of Cross-Language Information Retr...
The Image Distortion Model (IDM) has shown good retrieval quality in previous runs of the medical automatic annotation task of previous ImageCLEF workshops. However, one of its li...
Abstract. After participating in last year's CLEF IP (2009) evaluation benchmark, our scores were rather low. The CLEF IP 2010 PAC task enabled us to correct some experiments ...
Wouter Alink, Roberto Cornacchia, Arjen P. de Vrie...