User feedback is widely deployed in recent multimedia research to refine retrieval performance. However, most of the existing online learning algorithms handle interactions of a s...
This paper represents the first participation of the Institute of Statistical Studies and Research at Cairo University group in CLEF 2009-Medical image retrieval track. Our system...
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...
Pseudo-relevance feedback (PRF) via query-expansion has been proven to be effective in many information retrieval (IR) tasks. In most existing work, the top-ranked documents from...
This paper assesses the usefulness of surface features in a multimedia retrieval setting. Surface features describe the metadata or structure of a document rather than the content....
Thijs Westerveld, Arjen P. de Vries, Georgina Ram&...