Markov Random Fields (MRFs) are an important class of probabilistic models which are used for density estimation, classification, denoising, and for constructing Deep Belief Netwo...
The classical group testing problem asks to determine at most d defective elements in a set of n elements, by queries to subsets that return Yes if the subset contains some defecti...
In this paper we report the impact of the Random Waypoint model on infrastructure wireless networks that utilise multi-rate scheme. The Waypoint model causes a higher concentratio...
Peer-to-peer applications can benefit from human friendship networks (e.g., e-mail contacts or instant message buddy lists). However these are not always available. We propose an...
—The problem of finding efficient workload distribution techniques is becoming increasingly important today for heterogeneous distributed systems where the availability of comp...
Vladimir Shestak, Edwin K. P. Chong, Anthony A. Ma...