Collaborative Filtering (CF) aims at finding patterns in a sparse matrix of contingency. It can be used for example to mine the ratings given by users on a set of items. In this p...
We introduce a natural generalization of submodular set cover and exact active learning with a finite hypothesis class (query learning). We call this new problem interactive submo...
: We present a new method for real-time rendering of soft shadows in dynamic scenes. Our approach is based on shadow volume algorithm which provides fast, accurate and high quality...
To stay aware of relevant information and avoid productivity loss, a developer has to continuously read through new incoming information. Our approach supports the integration of ...
Collaborative filtering exploits user preferences, generally ratings, to provide them with recommendations. However, the ratings may not be completely trustworthy: the rating scale...
Armelle Brun, Ahmad Hamad, Olivier Buffet, Anne Bo...