We propose to combine two approaches for modeling data admitting sparse representations: on the one hand, dictionary learning has proven effective for various signal processing ta...
The problem of designing suitable conceptual modeling languages for system engineering is far from being solved. In the past years, some works have proposed the use of foundational...
When we evaluate the quality of recommender systems (RS), most approaches only focus on the predictive accuracy of these systems. Recent works suggest that beyond accuracy there i...
We propose a joint representation and classification framework that achieves the dual goal of finding the most discriminative sparse overcomplete encoding and optimal classifier p...
This paper develops and studies a traffic-aware inter-domain routing (TIDR) protocol, which drastically improves the stability of the BGP-based inter-domain routing system. TIDR is...