This paper describes a publicly available database of subjective scores, relative to quality assessment of 156 video streams encoded with H.264/AVC and corrupted by simulating pac...
Francesca De Simone, Marco Tagliasacchi, Matteo Na...
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, ...
A warehouse is a data repository containing integrated information for e cient querying and analysis. Maintaining the consistency of warehouse data is challenging, especially if t...
A burst is a large number of events occurring within a certain time window. As an unusual activity, it's a noteworthy phenomenon in many natural and social processes. Many da...
To learn concepts over massive data streams, it is essential to design inference and learning methods that operate in real time with limited memory. Online learning methods such a...