Feature space analysis is the main module in many computer vision tasks. The most popular technique, k-means clustering, however, has two inherent limitations: the clusters are co...
Statistical shape models have gained widespread use in medical image analysis. In order for such models to be statistically meaningful, a large number of data sets have to be inclu...
Numerous applications of data mining to scientific data involve the induction of a classification model. In many cases, the collection of data is not performed with this task in m...
The UK e-Science programme is relying on the evolution of the paper lab book into a pervasive data gathering lab system. To date take up of existing commercial or research lab boo...
Monica M. C. Schraefel, Gareth V. Hughes, Hugo R. ...
We present a mechanism for autonomous self-adaptation of a network-based intrusion detection system (IDS). The system is composed of a set of cooperating agents, each of which is ...