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Many machine learning problems involve regressing variables on a non-Euclidean manifold -- e.g. a discrete probability distribution, or the 6D pose of an object. One way to tackle these problems through gradient-based learning is to use a…

计算机视觉与模式识别 · 计算机科学 2021-10-14 Romain Brégier

A regularization procedure developed in [1] for the integral curvature invariants on manifolds with conical singularities is generalized to the case of squashed cones. In general, the squashed conical singularities do not have rotational…

高能物理 - 理论 · 物理学 2015-06-16 Dmitri V. Fursaev , Alexander Patrushev , Sergey N. Solodukhin

We give theorems that can be used to upper bound the densities of packings of different spherical caps in the unit sphere and of translates of different convex bodies in Euclidean space. These theorems extend the linear programming bounds…

度量几何 · 数学 2014-09-26 David de Laat , Fernando Mario de Oliveira Filho , Frank Vallentin

Given a space X we study the topology of the space of embeddings of X into $\mathbb{R}^d$ through the combinatorics of triangulations of X. We give a simple combinatorial formula for upper bounds for the largest dimension of a sphere that…

几何拓扑 · 数学 2020-10-26 Florian Frick , Michael Harrison

We give an explicit estimate of the distance of a closed, connected, oriented and immersed hypersurface of a space form to a geodesic sphere and show that the spherical closeness can be controlled by a power of an integral norm of the…

微分几何 · 数学 2019-02-14 Julien Roth , Julian Scheuer

This paper is concerned with the ubiquitous inverse problem of recovering an unknown function u from finitely many measurements possibly affected by noise. In recent years, inversion methods based on linear approximation spaces were…

数值分析 · 数学 2022-10-06 Albert Cohen , Matthieu Dolbeault , Olga Mula , Agustin Somacal

The injectivity radius of a manifold is an important quantity, both from a theoretical point of view and in terms of numerical applications. It is the largest possible radius within which all geodesics are unique and length-minimizing. In…

微分几何 · 数学 2024-05-06 Ralf Zimmermann , Jakob Stoye

In order to study projections of smooth curves, we introduce multifiltrations obtained by combining flags of osculating spaces. We classify all configurations of singularities occurring for a projection of a smooth curve embedded by a…

代数几何 · 数学 2020-01-14 Jarosław Buczyński , Nathan Ilten , Emanuele Ventura

Some graphs admit drawings in the Euclidean k-space in such a (natu- ral) way, that edges are represented as line segments of unit length. Such drawings will be called k dimensional unit distance representations. When two non-adjacent…

组合数学 · 数学 2010-01-07 Jan Kratochvil , Boris Horvat , Tomaz Pisanski

A n n-body system is a labelled collection of n point masses in Euclidean space, and their congruence and internal symmetry properties involve a rich mathematical structure which is investigated in the framework of equivariant Riemannian…

数学物理 · 物理学 2007-05-23 Eldar Straume

Projective geometry provides the preferred framework for most implementations of Euclidean space in graphics applications. Translations and rotations are both linear transformations in projective geometry, which helps when it comes to…

计算几何 · 计算机科学 2007-05-23 Chris Doran , Anthony Lasenby , Joan Lasenby

The present paper mainly presents, for example, explicit classifications of compact smooth manifolds having non-empty boundaries and simple structures where the dimensions are general. Studies of this type is fundamental and important. They…

一般拓扑 · 数学 2021-06-21 Naoki Kitazawa

We present a complete system of inequalities for the inradius, circumradius, and diameter in the $3$-dimensional Euclidean space. To do so, we prove quasiconcavity of the inradius evaluated over $n$-simplices with a common facet…

度量几何 · 数学 2025-09-08 René Brandenberg , Bernardo González Merino , Mia Runge

In this paper, we systematically investigate the geometry and topology of manifolds with integral radial curvature bounds, and obtain many interesting and important conclusions.

微分几何 · 数学 2019-10-29 Jing Mao

Consider an i.i.d. sample from an unknown density function supported on an unknown manifold embedded in a high dimensional Euclidean space. We tackle the problem of learning a distance between points, able to capture both the geometry of…

概率论 · 数学 2019-12-30 Pablo Groisman , Matthieu Jonckheere , Facundo Sapienza

This article is concerned with the representation of curves by means of integral invariants. In contrast to the classical differential invariants they have the advantage of being less sensitive with respect to noise. The integral invariant…

数值分析 · 数学 2012-09-05 Martin Bauer , Thomas Fidler , Markus Grasmair

In Euclidean geometry, all metric notions (arc length for curves, the first fundamental form for surfaces, etc.) are derived from the Euclidean inner product on tangent vectors, and this inner product is preserved by the full symmetry group…

We study scale-invariant geometric quantities associated with embedded closed curves in Euclidean three-space, with an emphasis on their behavior under optimization within a fixed knot type. Given a Euclidean-invariant and scale-covariant…

几何拓扑 · 数学 2026-05-01 Makoto Ozawa

We deal with a notion of weak binormal and weak principal normal for non-smooth curves of the Euclidean space with finite total curvature and total absolute torsion. By means of piecewise linear methods, we first introduce the analogous…

微分几何 · 数学 2020-05-19 Domenico Mucci , Alberto Saracco

In this work we study the general system of geodesic equations for the case of a massive particle moving on an arbitrary curved manifold. The investigation is carried out from the symmetry perspective. By exploiting the parametrization…

广义相对论与量子宇宙学 · 物理学 2019-06-05 N. Dimakis , Petros A. Terzis , T. Christodoulakis