Introduction: The recent availability of multisensor systems in key image application areas, such as remote and airborne sensing, motivated researchers to work on image fusion in general and pixel level image fusion in particular. Thus a plethora of pixel level fusion algorithms have been developed [1,2,3] with different performance and complexity characteristics. Fusion performance is mainly a...

Résumé Description. La mesure des résultats de la technologie d’assistance est complexe car de nombreux facteurs (p. ex., environnement et modèle de prestation des services) influent sur l’utilisation de la technologie. But. Se basant sur l’exemple de la mesure des résultats d’un logiciel de prédiction de mots, cet article présente une méthode pour mesurer les résultats de la technologie d’assi...

More years ago than I care to admit, I spent many not-so-unpleasant hours standing on a street corner with one eye on the controller settings and the other on traffic, trying to optimize the controller settings by making minute adjustments to initial, extension, and maximum intervals. Even when I thought the settings could be no further improved, I worried that my “fine tuning” might not yield ...

Palmer [1] has the advantage of being simple to implement and have good performances compared to the other similarity measures [2]. Nevertheless, the Wu and Palmer measure present the following disadvantage: in some situations, the similarity of two elements of an IS-A ontology contained in the neighborhood exceeds the similarity value of two elements contained in the same hierarchy. This situa...

In this paper, we consider the throughput modelling and fairness provisioning in CSMNCA based ad-hoc networks. The main contributions am: Firstly, a throughput model based on Markovian analysis is proposed for the CSMNCA network with a general topology. Simulation investigations are presented to verify its performance. Secondly, fairness issues in CSMMCA networks are discussed based on the thro...

For the task of speaker verification, similarity measure normalization methods are relevant to cope with variability problems and with data and/or decision fusion problems. The aim of this paper is to suggest a new method of normalization which combines classical world model based normalization techniques with ones based on a posteriori probability. This original method presents the well-known ...

This paper intends to research on the link between musical similarity and style and sub-style (variant) classification in the context of flamenco a cappella singing styles. Given the limitation of standard computational models for melodic characterization and similarity computation in this particular context, we have proposed a specific set of melodic features adapted to flamenco singing styles...