We propose Fuzzy Jaccard Index (Fuji) — a scale-invariant score for similarity assessment of two ranked/ordered lists. Fuji improves upon the index by incorporating membership function that takes into account particular ranks, thus producing both more stable and accurate estimates. provide theoretical insights properties as well an efficient algorithm computing it. also present empirical eviden...

Résumé. Cet article propose une comparaison graphique de certains indices de pertinence pour évaluer l'intérêt des règles d'association. Nous nous sommes appuyés sur une étude existante pour sélectionner quelques indices auxquels nous avons ajouté l'indice de Jaccard et l'indice d'accords désaccords (IAD). Ces deux derniers nous semblent plus adaptés pour discriminer les règles intéressantes da...

Traumatic brain injuries are important causes of disability and death. Physicians use CT or MRI images to observe the trauma and measure its severity for diagnosis and treatment. Due to the overlap of haemorrhage and normal brain tissues, segmentation methods sometimes lead to false results. In this paper, we present a hybrid method to segment the haemorrhage region in trauma brain CT images. F...

We describe a new measure for the evaluation of region level segmentation of objects, as applied to evaluating the accuracy of leaf-level segmentation of plant images. The proposed approach enforces the rule that a region (e.g. a leaf) in either the image being evaluated or the ground truth image evaluated against can be mapped to no more than one region in the other image. We call this measure...

Robot vision is a fundamental device for humanrobot interaction and robot complex tasks. In this paper, we use Kinect and propose a feature graph fusion (FGF) for robot recognition. Our feature fusion utilizes RGB and depth information to construct fused feature from Kinect. FGF involves multi-Jaccard similarity to compute a robust graph and utilize word embedding method to enhance the recognit...

In this study, we analyzed dominant molecular markers to estimate the genetic divergence of 26 popcorn genotypes and evaluate whether using various dissimilarity coefficients with these dominant markers influences the results of cluster analysis. Fifteen random amplification of polymorphic DNA primers produced 157 amplified fragments, of which 65 were monomorphic and 92 were polymorphic. To cal...

In this paper, we apply an efficient top-k shortest distance routing algorithm to the link prediction problem and test its efficacy. We compare the results with other base line and state-of-the-art methods as well as with the shortest path. Our results show that using top-k distances as a similarity measure outperforms classical similarity measures such as Jaccard and Adamic/Adar.

Methods Pattern analysis of a chorological dataset, consisting of the occurrences of 3041 vascular plant species in each of the 50 km 9 50 km UTM cells of a grid covering Iberia and the Balearic Islands, was based on cluster analysis (unweighted pair-group method using arithmetic averages; UPGMA) and parsimony analysis of endemicity (PAE). The Jaccard similarity index was used in the UPGMA, and...