This paper studies document ranking under uncertainty. It is tackled in a general situation where the relevance predictions of individual documents have uncertainty, and are depen...
We describe a methodology for retrieving document images from large extremely diverse collections. First we perform content extraction, that is the location and measurement of reg...
With the rise of tools for clinical decision support, there is an increased need for automatic processing of electrocardiograms (ECG) documents. In fact, many systems have already...
Fei Wang, Tanveer Fathima Syeda-Mahmood, David Bey...
: Oracle's objective in TREC-10 was to study the behavior of Oracle information retrieval in previously unexplored application areas. The software used was Oracle9i Text[1], O...
Shamin Alpha, Paul Dixon, Ciya Liao, Changwen Yang
We present a query-driven algorithm for the distributed indexing of large document collections within structured P2P networks. To cope with bandwidth consumption that has been ide...
Gleb Skobeltsyn, Toan Luu, Ivana Podnar Zarko, Mar...