We present a simple semi-supervised relation extraction system with large-scale word clustering. We focus on systematically exploring the effectiveness of different cluster-based ...
This work explores the potential for increased synergy between gazetteers and high-resolution remote sensed imagery. These two data sources are complementary. Gazetteers provide h...
We present an event based system for storing, managing, and presenting personal multimedia history. The development of such systems is a challenge because information about person...
In data dominated applications, like multi-media and telecom applications, data storage and transfers are the most important factors in terms of energy consumption, area and syste...
Erik Brockmeyer, Arnout Vandecappelle, Sven Wuytac...
Large, high dimensional data spaces, are still a challenge for current data clustering methods. Frequent Termset (FTS) clustering is a technique developed to cope with these chall...