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Related papers: Hyperbolic Voronoi diagrams made easy

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Motivated by a model for the perception of textures by the visual cortex in primates, we analyse the bifurcation of periodic patterns for nonlinear equations describing the state of a system defined on the space of structure tensors, when…

Dynamical Systems · Mathematics 2015-05-19 Pascal Chossat , Grégory Faye , Olivier Faugeras

The classic Voronoi cells can be generalized to a higher-order version by considering the cells of points for which a given $k$-element subset of the set of sites consists of the $k$ closest sites. We study the structure of the $k$-order…

Metric Geometry · Mathematics 2019-06-14 Juan Enrique Martínez-Legaz , Vera Roshchina , Maxim Todorov

Obtaining continuous representations of structural data such as directed acyclic graphs (DAGs) has gained attention in machine learning and artificial intelligence. However, embedding complex DAGs in which both ancestors and descendants of…

Machine Learning · Computer Science 2019-05-16 Ryota Suzuki , Ryusuke Takahama , Shun Onoda

Motivated by the recent interest in Lie algebraic and geometric structures arising from tensor products of division algebras and their relevance to high energy theoretical physics, we analyze generalized bioctonionic projective and…

Mathematical Physics · Physics 2022-07-27 Daniele Corradetti , Alessio Marrani , David Chester , Ray Aschheim

By analogy with complex numbers, a system of hyperbolic numbers can be introduced in the same way: z=x+h*y with h*h=1 and x,y real numbers. As complex numbers are linked to the Euclidean geometry, so this system of numbers is linked to the…

Mathematical Physics · Physics 2009-11-11 Francesco Catoni , Roberto Cannata , Vincenzo Catoni , Paolo Zampetti

Extraction of a high-fidelity 3D medial axis is a crucial operation in CAD. When dealing with a polygonal model as input, ensuring accuracy and tidiness becomes challenging due to discretization errors inherent in the mesh surface.…

Graphics · Computer Science 2024-11-12 Pengfei Wang , Jiantao Song , Lei Wang , Shiqing Xin , Dongming Yan , Shuangmin Chen , Changhe Tu , Wenping Wang

A smooth curve in the real projective plane is hyperbolic if its ovals are maximally nested. By the Helton-Vinnikov Theorem, any such curve admits a definite symmetric determinantal representation. We use polynomial homotopy continuation to…

Algebraic Geometry · Mathematics 2016-07-05 Anton Leykin , Daniel Plaumann

A graph G is a (Euclidean) unit disk graph if it is the intersection graph of unit disks in the Euclidean plane $\mathbb{R}^2$. Recognizing them is known to be $\exists\mathbb{R}$-complete, i.e., as hard as solving a system of polynomial…

Computational Geometry · Computer Science 2023-01-16 Nicholas Bieker , Thomas Bläsius , Emil Dohse , Paul Jungeblut

We describe conditions under which an appropriately-defined anisotropic Voronoi diagram of a set of sites in Euclidean space is guaranteed to be composed of connected cells in any number of dimensions. These conditions are natural for…

Computational Geometry · Computer Science 2011-02-18 Guillermo D. Canas , Steven J. Gortler

Phase plotting is a useful way of visualising functions on complex space. We reinvent the method in the context of hyperbolic geometry, and we use it to plot functions on various representative surfaces for hyperbolic space, illustrating…

Differential Geometry · Mathematics 2019-03-28 Scott B. Lindstrom , Paul Vrbik

We reelaborate on the basic properties of lossless multilayers by using bilinear transformations. We study some interesting properties of the multilayer transfer function in the unit disk, showing that hyperbolic geometry turns out to be an…

Optics · Physics 2009-11-10 A. G. Barriuso , J. J. Monzon , L. L. Sanchez-Soto , J. F. Carinena

Let $P$ be a planar set of $n$ sites in general position. For $k\in\{1,\dots,n-1\}$, the Voronoi diagram of order $k$ for $P$ is obtained by subdividing the plane into cells such that points in the same cell have the same set of nearest $k$…

Computational Geometry · Computer Science 2018-10-02 Bahareh Banyassady , Matias Korman , Wolfgang Mulzer , André van Renssen , Marcel Roeloffzen , Paul Seiferth , Yannik Stein

This work presents a reformulation of the recently proposed Wasserstein autoencoder framework on a non-Euclidean manifold, the Poincar\'e ball model of the hyperbolic space. By assuming the latent space to be hyperbolic, we can use its…

Machine Learning · Computer Science 2020-03-18 Ivan Ovinnikov

The Voronoi diagram is a geometric object which is widely used in many areas. Recently it has been shown that under mild conditions Voronoi diagrams have a certain continuity property: small perturbations of the sites yield small…

Computational Geometry · Computer Science 2013-04-30 Daniel Reem

We build quasi--isometry invariants of relatively hyperbolic groups which detect the hyperbolic parts of the group; these are variations of the stable dimension constructions previously introduced by the authors. We prove that, given any…

Group Theory · Mathematics 2016-09-19 Matthew Cordes , David Hume

Hyperbolic manifolds for visual representation learning allow for effective learning of semantic class hierarchies by naturally embedding tree-like structures with low distortion within a low-dimensional representation space. The highly…

Computer Vision and Pattern Recognition · Computer Science 2023-05-19 Aiden Durrant , Georgios Leontidis

We investigate higher-order Voronoi diagrams in the city metric. This metric is induced by quickest paths in the L1 metric in the presence of an accelerating transportation network of axis-parallel line segments. For the structural…

Computational Geometry · Computer Science 2012-04-20 Andreas Gemsa , D. T. Lee , Chih-Hung Liu , Dorothea Wagner

Suppose that $X$ is an infinite, connected, locally finite, quasi-transitive graph with the property that every bi-infinite quasi-geodesic uniformly coarsely separates $X$ into exactly two deep pieces. We show that such an $X$ is…

Group Theory · Mathematics 2025-11-17 Joseph MacManus

In this article, we propose a numerical method to solve semi-discrete optimal transport problems for gigantic pointsets (108 points and more). By pushing the limits by several orders of magnitude, it opens the path to new applications in…

Computational Physics · Physics 2025-09-16 Bruno Lévy , Nicolas Ray , Quentin Mérigot , Hugo Leclerc

Learning task-specific representations of persistence diagrams is an important problem in topological data analysis and machine learning. However, current state of the art methods are restricted in terms of their expressivity as they are…

Machine Learning · Computer Science 2021-03-18 Panagiotis Kyriakis , Iordanis Fostiropoulos , Paul Bogdan