The selection of features for classification, clustering and approximation is an important task in pattern recognition, data mining and soft computing. For real-valued features, th...
Different methods have been proposed in order to deal with the huge amount of information that hyperspectral applications involve. This paper presents a comparison of some of the m...
Abstract. The greater and greater quantity of services that are available over the web causes a growing attention to techniques that facilitate their reuse. A web service specific...
Matteo Baldoni, Cristina Baroglio, Alberto Martell...
Abstract. We report on our recent progress in developing an ensemble of classifiers based algorithm for addressing the missing feature problem. Inspired in part by the random subsp...
Abstract. Large area photo-mosaics are widely used in many different applications such as optical mapping, panorama creation and autonomous vehicle navigation. When the trajectory...