This paper studies an adaptive clustering problem. We focus on re-clustering an object set, previously clustered, when the feature set characterizing the objects increases. We prop...
Millions of small heterogeneous computers are poised to spread into the infrastructure of our society. Though mostly inconspicuous today, disguised as nothing more than PIM (perso...
Peter Wyckoff, Stephen W. McLaughry, Tobin J. Lehm...
We describe a recommender system in the domain of grocery shopping. While recommender systems have been widely studied, this is mostly in relation to leisure products (e.g. movies...
Ming Li, M. Benjamin Dias, Ian H. Jarman, Wael El-...
In this demo, we show that intelligent load shedding is essential in achieving optimum results in mining data streams under various resource constraints. The Loadstar system intro...
In many applications, we find large video collections from different genres where the user is often only interested in one or two specific video genres. So, when users are queryin...