Integrating a system of disparate components to form a single application is still a daunting, high risk task, especially for components with heterogeneous communication expectati...
Michelle Hepner, Rose F. Gamble, Manasi Kelkar, Le...
For complex tasks such as parse selection, the creation of labelled training sets can be extremely costly. Resource-efficient schemes for creating informative labelled material mu...
Prototype selection problem consists of reducing the size of databases by removing samples that are considered noisy or not influential on nearest neighbour classification tasks. ...
Recognition of old Greek manuscripts is essential for quick and efficient content exploitation of the valuable old Greek historical collections. In this paper, we focus on the prob...
Basilios Gatos, Kostas Ntzios, Ioannis Pratikakis,...
A model-constrained adaptive sampling methodology is proposed for reduction of large-scale systems with high-dimensional parametric input spaces. Our model reduction method uses a ...