The management of complexity in large systems is traditionally focused on the modeling and management of classes and hierarchies of classes. In order to improve the compositional ...
Interactive network-based navigation over large urban environments raises difficult problems due to the size and complexity of these scenes. In this paper, we present a clientser...
Designing and organising large numbers of autonomic resources into a coherent system is a difficult endeavour. It necessitates handling complex interactions among dynamic, heteroge...
This paper examines the problem of learning with a finite and possibly large set of p base kernels. It presents a theoretical and empirical analysis of an approach addressing thi...
Most existing model-based approaches to anomaly detection construct a profile of normal instances, then identify instances that do not conform to the normal profile as anomalies...