Content-based image retrieval systems still have difficulties to bridge the semantic gap between the low-level representation of images and the high level concepts the user is loo...
This paper presents a novel platform for image retrieval based on a two-level architecture inspired from human cognitive mechanisms. These two levels provide both generic similari...
John Moustakas, Kostas Marias, Socrates Dimitriadi...
We investigate two seemingly incompatible approaches for improving document retrieval performance in the context of question answering: query expansion and query reduction. Querie...
One of the difficulties of Content-Based Image Retrieval (CBIR) is the gap between high-level concepts and low-level image features, e.g., color and texture. Relevance feedback wa...
Retrieving information from EHRs that are represented as XML documents is an important aspect for the users of this domain. Such retrieving may lead to some vague queries. There i...