Detection of interactions among data items constitutes an essential part of knowledge discovery. The cascade model is a rule induction methodology using levelwise expansion of a la...
This paper presents an algorithm and a data structure for scalable dynamic synchronization in fine-grained parallelism. The algorithm supports the full generality of phasers with d...
Stefan Marr, Stijn Verhaegen, Bruno De Fraine, The...
As the network line rates reach 40 Gbps today and 100 Gbps in the near future, performing deep packet inspection (DPI) in the Network Intrusion Detection and Prevention Systems (NI...
Runtime assertion checking is useful for debugging programs and specifications. Existing tools check invariants as well as method preand postconditions, but mostly ignore assignabl...
Multi-label learning is useful in visual object recognition when several objects are present in an image. Conventional approaches implement multi-label learning as a set of binary...