We consider the problem of discovering pairs of similar concepts, which are part of two given source ontologies, in which each concept node is mapped to a set of instances. The similarity measures we propose are based on learning a classifier for each concept that allows to discriminate the respective concept from the remaining concepts in the same ontology. We present two new measures that are...

This paper proposes a query suggestion method combining two ranked retrieval methods: TF-IDF and Jaccard coefficient. Four performance criteria plus user evaluation have been adopted to evaluate this combined method in terms of ranking and relevance from different perspectives. Two experiments have been conducted using carefully designed eighty test queries which are related to eight topics. On...

Recent advances in microscopy enable the capture of temporal sequences during cell development stages. However, the study of such sequences is a complex and time consuming task. In this paper we propose an automatic strategy to address the problem of semantic and instance segmentation of mouse embryos using NYU’s Mouse Embryo Tracking Database. We obtain our instance proposals as refined predic...

This paper presents a framework for spotting and recognizing continuous human gestures. Skeleton based features are extracted from normalized human body coordinates to represent gestures. These features are then used to construct spatio-temporal template based Random Decision Forest models. Finally, predictions from different models are fused at score level to improve overall recognition perfor...

RÉSUMÉ. Le calcul de distances entre représentations textuelles est au cœur de nombreuses applications du Traitement Automatique des Langues. Les approches standard initiallement développées pour la recherche d’information sont alors le plus souvent utilisées. Dans la plupart des cas, il est donc adopté une description sac-de-mots (ou sac-d’attributs) avec des pondérations de type TF-IDF ou des...

This paper compares the performance of Jaccard's similarity coefficient with the producti on data-based simi 1arity coeffi­ cient. A number of machine-component charts taken from the literature or randomly generated are used to form machine-component groups. Then, the sum of intercellular and intracellular material handling costs for each machine-component group is calculated and used as a basi...

Automatic skin lesion segmentation on dermoscopic images is an essential step in computer-aided diagnosis of melanoma. However, this task is challenging due to significant variations of lesion appearances across different patients. This challenge is further exacerbated when dealing with a large amount of image data. In this paper, we extended our previous work by developing a deeper network arc...

In this paper, we propose a semantically enabled news exploration method to aid journalists in overcoming the information overload in today’s news streams. To achieve this, our approach semantically tags news articles, calculates their relatedness through their similarity based on these tags, and creates an article graph to be browsed by an end-user. Based on related work, the Jaccard metric se...