Many applications of supervised learning require good generalization from limited labeled data. In the Bayesian setting, we can try to achieve this goal by using an informative pr...
—We consider multi-user MIMO broadcast channels with limited feedback. A recently proposed linear precoding technique, regularized block diagonalization (RBD), is used to mitigat...
—This paper presents an efficient protocol to reliably exchange information in a single-hop radio network with unpredictable interference. The devices can access C communication...
Seth Gilbert, Rachid Guerraoui, Dariusz R. Kowalsk...
Monitoring the dynamics of networks in the brain is of central importance in normal and disease states. Current methods of detecting networks in the recorded EEG such as correlati...
Pamela Wen-Hsin Lee, Z. Jane Wang, Martin J. McKeo...
— This paper presents two methods able to exploit the information at the loop closure in the SLAM problem. Both methods have three fundamental advantages. The first one is that ...