We consider the problem of distributed classification of multiple observations of the same object that are collected in an ad-hoc network of vision sensors. Assuming that each sen...
Recent research in automated learning has focused on algorithms that learn from a combination of tagged and untagged data. Such algorithms can be referred to as semi-supervised in...
Automatic management of large-scale production systems requires a continuous monitoring service to keep track of the states of the managed system. However, it is challenging to ac...
Resource discovery and monitoring in a distributed Grid environment gives rise to several issues, one of which is the provision of reliable performance and hence, the quality-ofse...
Helene N. Lim Choi Keung, Justin R. D. Dyson, Step...
We show that universal routing can be achieved with low overhead in distributed networks. The validity of our results rests on a new network called the fat-stack. We show that fro...