In this paper we propose and evaluate an algorithm that learns a similarity measure for comparing never seen objects. The measure is learned from pairs of training images labeled ...
Matching coreferent named entities without prior knowledge requires good similarity measures. Soft-TFIDF is a fine-grained measure which performs well in this task. We propose to ...
Background: Various measures of semantic similarity of terms in bio-ontologies such as the Gene Ontology (GO) have been used to compare gene products. Such measures of similarity ...
Brendan Sheehan, Aaron J. Quigley, Benoit Gaudin, ...
We propose an ordinal-basedmeasure of image similarity. Thismeasureisbased on a recentlydevelopedgeneralframework for image correspondence and incorporates regionbased spatial inf...
This work-in-progress paper describes the features of the ArHeX similarity-oriented XML processing toolkit [12]. ArHeX is designed to assist in the engineering of XML similarity-o...
Ismael Sanz, Rafael Berlanga Llavori, Marco Mesiti...