Most retrieval models estimate the relevance of each document to a query and rank the documents accordingly. However, such an approach ignores the uncertainty associated with the ...
Jianhan Zhu, Jun Wang, Ingemar J. Cox, Michael J. ...
In this demonstration we will examine the effectiveness of Geographic Information Retrieval (GIR) methods in digital library interfaces. We will show how various types of informat...
This paper proposes a learning approach for the merging process in multilingual information retrieval (MLIR). To conduct the learning approach, we also present a large number of f...
In the light of image retrieval evolving from text annotation to content-based and from standalone applications to web-based search engines, we foresee the need for deploying cont...
We present a report about our participation in the ImageCLEF photo task 2006 and a short description of our new framework for future use in further CLEF participations....