: Information retrieval tries to identify relevant documents for an information need. The problems that an IR system should deal with include document indexing (which tries to extr...
We have in a previous paper introduced the new query operators that are needed in order to support an XML query language that supports temporal operations. The query operators mak...
This paper explores the use of Bayesian online classifiers to classify text documents. Empirical results indicate that these classifiers are comparable with the best text classifi...
We propose a framework to learn scene semantics from surveillance videos. Using the learnt scene semantics, a video analyst can efficiently and effectively retrieve the hidden sem...
This paper concerns the adaptation of spectrum dictionaries in audio source separation with supervised learning. Supposing that samples of the audio sources to separate are availa...
Xabier Jaureguiberry, Pierre Leveau, Simon Maller,...