The purpose of this paper is to give a survey on the notions of distance between subsets
either of a metric space or of a measure space, including definitions, a classification, and a …

In the process of producing information from images with very or ultra-high spatial resolution
(VHR and UHR), the most accurate results are achieved by using object-based image …

This article presents a collision avoidance (COLAV) method for autonomous surface vessels
operating in confined waters with other vessels, using a novel target ship (TS) domain. The …

This paper introduces a new framework to quantify distance between finite sets with
uncertainty present, where probability distributions determine the locations of individual …

The discovery of links between resources within knowledge bases is of crucial importance to
realize the vision of the Semantic Web. Addressing this task is especially challenging when …

This paper proposes a new method for determining similarity and anomalies between time
series, most practically effective in large collections of (likely related) time series, by …

This paper proposes a new method for financial portfolio optimization based on reducing
simultaneous asset shocks across a collection of assets. This may be understood as an …

Large amounts of geo-spatial information have been made available with the growth of the
Web of Data. While discovering links between resources on the Web of Data has been …

Context. The basic methods of quantitative evaluation of image segmentation quality are
explored. They are used to select segmentation algorithms for specific image classes. The …

Mining geo-spatial data is an important task in many application domains, such as
environmental science, geographic information science, and social networks. In this paper …