A novel face recognition approach is proposed, based on the use of compressed discriminative features and recurrent neural classifiers. Low-dimensional feature vectors are extract...
This work addresses the problem of feature extraction for boosting the performance of outlier detectors in high-dimensional spaces. Recent years have observed the prominence of mu...
Distributed processing of real-world graphs is challenging due to their size and the inherent irregular structure of graph computations. We present HIPG, a distributed framework th...
Elzbieta Krepska, Thilo Kielmann, Wan Fokkink, Hen...
The evolution towards IP-aware access networks creates the possibility (and, indeed, the desirability) of additional network services, like firewalling or NAT, integrated into th...
Tom Verdickt, Wim Van de Meerssche, Koert Vlaeminc...
Sectorized antennas provide an attractive solution to increase wireless network capacity through higher spatial reuse. Despite their increasing popularity, the real-world performa...
Henrik Lundgren, Anand Prabhu Subramanian, Theodor...