It is becoming increasingly important to learn from a partially-observed random matrix and predict its missing elements. We assume that the entire matrix is a single sample drawn ...
This paper describes how a visual system can automatically define features of interest from the observation of a large enough number of natural images. The principle complements t...
Gossip algorithms for distributed computation are attractive due to their simplicity, distributed nature, and robustness in noisy and uncertain environments. However, using standa...
Alexandros G. Dimakis, Anand D. Sarwate, Martin J....
— This paper presents the initial results of a study aimed at improving the method by which the vibrations produced by transport vehicles are characterised and simulated. More sp...
Manuel-Alfredo Garcia-Romeu-Martinez, Vincent Roui...
We consider a distributed server system model and ask which policy should be used for assigning tasks to hosts. In our model each host processes tasks in First-Come-First-Serve ord...
Mor Harchol-Balter, Mark Crovella, Cristina D. Mur...