Most recommendation methods (e.g., collaborative filtering) consist of (1) a computationally intense offline phase that computes a recommender model based on users’ opinions o...
Justin J. Levandoski, Mohamed Sarwat, Mohamed F. M...
In this paper, we introduce a new IP lookup scheme with worst-case search and update time of O(log n), where n is the number of prefixes in the forwarding table. Our scheme is base...
Priyank Ramesh Warkhede, Subhash Suri, George Varg...
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
This article is addressing a recurrent problem in biology: mining newly built large scale networks. Our approach consists in comparing these new networks to well known ones. The v...
Programming network processors remains a challenging task since their birth until recently when high-level programming environments for them are emerging. By employing domain speci...
Tao Liu, Xiao-Feng Li, Lixia Liu, Chengyong Wu, Ro...