Retrieval with Logical Imaging is derived from belief revision and provides a novel mechanism for estimating the relevance of a document through logical implication (i.e. P(q → ...
Guido Zuccon, Leif Azzopardi, C. J. van Rijsbergen
The National Library of Medicine has been developing CervigramFinder, a Web-accessible prototype content-based image retrieval (CBIR) system for cervical cancer research, to retri...
George R. Thoma, Jose Jeronimo, L. Rodney Long, Sa...
In this paper, we present the LIP6 annotation models for the ImageCLEFannotation 2010 task. We study two methods to train and merge the results of different classifiers in order to...
Ali Fakeri-Tabrizi, Sabrina Tollari, Nicolas Usuni...
This paper presents the UESTC contribution to the ImageCLEF 2010 medical retrieval task. For ad-hoc retrieval and case-based retrieval, we only use text information, and propose a ...
The problem of content-based image and video retrieval with textual queries is often posed as that of visual concept classification, where classifiers for a set of predetermined...