Automatically extracting semantic content from audio streams can be helpful in many multimedia applications. Motivated by the known limitations of traditional supervised approache...
In this paper, we propose a simple framework to characterize the switching behavior between search engines based on click streams. We segment users into a number of categories bas...
Pattern mining algorithms are often much easier applied than quantitatively assessed. In this paper we address the pattern evaluation problem by looking at both the capability of ...
We address the problem of maximizing the social welfare in a peer-to-peer streaming overlay given a fixed amount of server upload capacity. We show that peers' selfish behavio...
We present a demonstration of a newly developed text stream event detection method on over a million articles from the New York Times corpus. The event detection is designed to ope...
Tristan Snowsill, Ilias N. Flaounas, Tijl De Bie, ...