This survey presents multidimensional scaling (MDS) methods and their applications in real
world. MDS is an exploratory and multivariate data analysis technique becoming more and …

Current and future wireless applications strongly rely on precise real-time localization. A
number of applications, such as smart cities, Internet of Things (IoT), medical services …

This paper discusses certain modifications of the ideas concerning the Gromov–Hausdorff
distance which have the goal of modeling and tackling the practical problems of object …

We review methods designed to compute correspondences between geometric shapes
represented by triangle meshes, contours or point sets. This survey is motivated in part by …

Comparison among graphs is ubiquitous in graph analytics. However, it is a hard task in
terms of the expressiveness of the employed similarity measure and the efficiency of its …

Most attempts to represent 3D shapes for deep learning have focused on volumetric grids,
multi-view images and point clouds. In this paper we look at the most popular representation …