The paper investigates communities in Nigeria specifica ecosystem with the aim of generating baseline information on the similarity and diversity of emerging plant species. Hence the Jaccard Index of similarity and diversity was used to assess the variable nature of observed post remediation soil recovery sites. The study shows that the comparative analysis using the Jaccard successio 38.08% si...

A cyclic unary regular language is a regular language over a unary alphabet that is represented by a cyclic automaton. We propose a similarity measure for cyclic unary regular languages by modifying the Jaccard similarity coefficient and the Sørensen coefficient to measure the level of overlap between such languages. This measure computes the proportion of strings that are shared by two or more...

This paper proposes the implicative rating measure developed on the typicality measure. The paper also proposes a new recommendation model presenting the top N items to the active users. The proposed model is based on the user-based collaborative filtering approach using the implicative intensity measure to find the nearest neighbors of the active users, and the proposed measure to predict user...

Computerized Tomography (CT) is a standard method for obtaining internal structure of objects from their projection images. While CT reconstruction requires the knowledge of the imaging directions, there are some situations in which the imaging directions are unknown, for example, when imaging a moving object. It is therefore desirable to design a reconstruction method from projection images ta...

We implement and extend existing methods to detect salient objects and generate a segmentation map which is used to artistically desaturate the background. We evaluate the performance using a Jaccard similarity metric against the ground truth

Œis paper presents a new algorithm for calculating hash signatures of sets which can be directly used for Jaccard similarity estimation. Œe new approach is an improvement over the MinHash algorithm, because it has a beŠer runtime behavior and the resulting signatures allow a more precise estimation of the Jaccard index.

Two simple proofs of the triangle inequality for the Jaccard distance in terms of nonnegative, monotone, submodular functions are given and discussed. The Jaccard index [8] is a classical similarity measure on sets with a lot of practical applications in information retrieval, data mining, machine learning, and many more (cf., e.g., [7]). Measuring the relative size of the overlap of two finite...

Efficiently computing the weighted Jaccard similarity has become an active research topic in machine learning and theory. For sparse data, standard technique is based on consistent weighed sampling (CWS). dense however, methods rejection (RS) can be much more efficient. Nevertheless, existing RS are still slow for practical purposes. In this paper, we propose to improve by a strategy, which cal...