Shape matching is an important issue in pattern recognition and it has many real world applications. We have proposed a two-stage framework for polygon retrieval 12, 11] which incorporates both qualitative and quantitative measures of polygons in the rst and second stage respectively. In this paper, we introduce an extension to our two-stage framework. We propose a new polygon matching techniqu...

Extracting the relevant information by exploiting the spatial data warehouse becomes increasingly hard. In fact, because of the enormous amount of data stored in the spatial data warehouse, the user, usually, don't know what part of the cube contain the relevant information and what the forthcoming query should be. As a solution, we propose to study the similarity between the behaviors of the u...

This paper argues that two apparently distinct modes of generalizing concepts abstracting rules and computing similarity to exemplars should both be seen as special cases of a more general Bayesian learning framework. Bayes explains the specific workings of these two modes which rules are abstracted, how similarity is measured as well as why generalization should appear ruleor similarity-based ...

The symmetry classification problem for wave equation on sphere is considered. Symmetry algebra is found and a classification of its subalgebras, up to conjugacy, is obtained. Similarity reductions are performed for each class, and some examples of exact invariant solutions are given. © 2006 Elsevier Inc. All rights reserved.

In this paper, we discuss a number of new problems that arise in image databases, and that set them apart from traditional databases. The fact that image databases are based on similarity, rather than matching, creates a whose set of new issues.Most noticeably, while matching is, by and large, a well defined concept, there are many possible types of similarities. In this paper, we consider the ...

Distributional similarity is a useful notion in estimating the probabilities of rare joint events. It has been employed both to cluster events according to their distributions, and to directly compute averages of estimates for distributional neighbors of a target event. Here, we examine the tradeoffs between model size and prediction accuracy for cluster-based and nearest neighbors distribution...

In the paper, tangent similarity measure of neutrosophic refined set is proposed and its properties are studied. The concept of this tangent similarity measure of single valued neutrosophic refined sets is an extension of tangent similarity measure of single valued neutrosophic sets. Finally, using the propsed refined tangent similarity measure of single valued neutrosophic sets, a numerical ex...

This paper presents an automatic extraction and classification approach of opinions in texts. Therefore, we propose a similarity measurement calculating semantically similarities between a word and predefined subgroups of seed words. We have evaluated our approach on the semantic evaluation company "SemEval 2007" corpus, and we obtained promising results: the best value of Precision, 62%; and F...

This article presents new alternatives to the similarity function for the TextRank algorithm for automated summarization of texts. We describe the generalities of the algorithm and the different functions we propose. Some of these variants achieve a significative improvement using the same metrics and dataset as the original publication.