Detecting pedestrians in images is a key functionality to avoid vehicle-to-pedestrian collisions. The most promising detectors rely on appearance-based pedestrian classifiers tra...
Francisco Marin Tur, David Vazquez, David Geronimo...
This paper proposes a new learning method, which integrates feature selection with classifier construction for human detection via solving three optimization models. Firstly, the ...
Reflector attack [9] belongs to one of the most serious types of Denial-of-Service (DoS) attacks, which can hardly be traced by contemporary traceback techniques, since the marked...
Abstract. We describe LOCALE, a system that allows cooperating information systems to share labels for photographs. Participating photographs are enhanced with a geographic locatio...
Abstract: We present a new approach that uses compilerdirected fault-injection for coverage testing of recovery code in Internet services to evaluate their robustness to operating ...
Chen Fu, Richard P. Martin, Kiran Nagaraja, Thu D....