Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
Abstract. This paper presents a hardware architecture for UNIX password cracking using Hellman's time-memory trade-off; it is the first hardware design for a key search machin...
Nele Mentens, Lejla Batina, Bart Preneel, Ingrid V...
Abstract. Current Web applications provide their information and functionalities to human users only. To make Web applications also accessible for machines, the Semantic Web propos...
Abstract. The location of video scenes is an important semantic descriptor especially for broadcast news video. In this paper, we propose a learning-based approach to annotate shot...
Abstract. Classical state-oriented testing approaches are based on simple machine models such as Labelled Transition Systems (LTSs), in which data is represented by concrete values...