Maintenance of digital image libraries requires to frequently asses the quality of the images to engage preservation measures if necessary. We present an approach to image based quality assurance for digital image collections based on local descriptor matching. We use spatially distinctive local keypoints of contrast enhanced images and robust symmetric descriptor matching to calculate affine t...

It is possible to build useful models for software project risk assessment based on Bayesian networks. A number of such models have been published and used and they provide valuable predictions for decision-makers. However, the accuracy of the published models is limited due to the fact that they are based on crudely discretised numeric nodes. In traditional Bayesian network tools such discreti...

Voice and speech parameters for a single speaker vary widely over different contexts, in particular in situations in which speakers are affected by stress or emotion or in which speech styles are used strategically. This high degree of intra-speaker variability presents a major challenge for speaker verification systems. Based on a large-scale study in which different kinds of affective states ...

AbstractThinning or localized absence (a breach) of an aquitard warrant concern because this limits the protection it affords water-supply aquifers beneath. The objective study was to asses...

The quality of a test suite can be measured using mutation analysis. Groups of OO mutation operators are proposed for testing object-oriented features. The OO operators applied to UML specification and C++ code are illustrated by an example. Experimental results demonstrate effectiveness of different mutation operators and the reduction of functional test suite.