Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a particular linear combination of the input variables while constraining the numb...
Alexandre d'Aspremont, Francis R. Bach, Laurent El...
Deep Belief Networks (DBN's) are generative models that contain many layers of hidden variables. Efficient greedy algorithms for learning and approximate inference have allow...
This article explores a dual approach to real-time software development. Models are written in UML, as this is expected to be relatively easy and economic. Then models are automat...
Luigi Lavazza, Gabriele Quaroni, Matteo Venturelli
We are developing a complex computer aided diagnosis (CAD) system to detect small pulmonary nodules from helical CT scans. Here we present a classifier to reduce the number of fal...
Martin Dolejsi, Jan Kybic, Stanislav Tuma, Michal ...
Fitting enough information from webpages to make browsing on small screens compelling is a challenging task. One approach is to present the user with a thumbnail image of the full...