Active data clustering is a novel technique for clustering of proximity data which utilizes principles from sequential experiment design in order to interleave data generation and...
Ecological data can be difficult to collect, and as a result, some important temporal ecological datasets contain irregularly sampled data. Since many temporal modelling technique...
Robert I. McKay, Tuan Hao Hoang, Naoki Mori, Nguye...
A vision system suitable for a smart meeting room able to analyse the activities of its occupants is described. Multiple people were tracked using a particle filter in which sampl...
This study examines the ``medium-centric'' and ``user-centric'' approaches in investigating the displacement effects of the Internet. Results from a random sam...
Image mining presents special characteristics due to the richness of the data that an image can show. Effective evaluation of the results of image mining by content requires that ...