In this paper, we propose a hybrid similarity measure for 2D-3D image registration that is a weighted combination of an intensitybased image similarity measure and a point-based me...
Daniel B. Russakoff, Torsten Rohlfing, Ramin Shahi...
Background: Assessing the outcome of motif mining algorithms is an essential task, as the number of reported motifs can be very large. Significance measures play a central role in...
Ontology alignment (or matching) is the operation that takes two ontologies and produces a set of semantic correspondences (usually semantic similarities) between some elements of ...
In semi-supervised classification boosting, a similarity measure is demanded in order to measure the distance between samples (both labeled and unlabeled). However, most of the e...
Product recommender systems are a popular application and research field of CBR for several years now. However, almost all CBRbased recommender systems are not case-based in the or...