In this paper we extend an existing audio background modelling technique, leading to a more robust application to complex audio environments. The determination of background audio...
Geoff A. W. West, Simon Moncrieff, Svetha Venkates...
A common trait of background subtraction algorithms is that they have learning rates, thresholds, and initial values that are hand-tuned for a scenario in order to produce the des...
In this paper we evaluate the performance and usefulness of three semantic background knowledge sources for predicting synonymous anatomical terms across species boundaries. The r...
In this paper we propose an ontology matching paradigm based on the idea of harvesting the Semantic Web, i.e., automatically finding and exploring multiple and heterogeneous online...
This paper develops rare event simulation methods for the estimation of portfolio credit risk -- the risk of losses to a portfolio resulting from defaults of assets in the portfol...