The Dublin City University participation in the CLEF 2006 CL-SR task concentrated on exploring the combination of the multiple fields associated with the documents. This was based...
Gareth J. F. Jones, Ke Zhang, Adenike M. Lam-Adesi...
Leveraging information from relevance assessments has been proposed as an effective means for improving retrieval. We introduce a novel language modeling method which uses inform...
Tracking vehicles in image sequences of innercity road traffic scenes still constitutes a challenging task. Even if a-priori knowledge about the 3D shape of vehicles, of backgroun...
This paper presents the concept and an evaluation of a novel approach to support students to understand complex spatial relations and to learn unknown terms of a domain-specific t...
Relevance-based language models operate by estimating the probabilities of observing words in documents relevant (or pseudo relevant) to a topic. However, these models assume that ...