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Geodesic distance serves as a reliable means of measuring distance in nonlinear spaces, and such nonlinear manifolds are prevalent in the current multimodal learning. In these scenarios, some samples may exhibit high similarity, yet they…

Computer Vision and Pattern Recognition · Computer Science 2025-05-19 Shibin Mei , Hang Wang , Bingbing Ni

Random fields are mathematical structures used to model the spatial interaction of random variables along time, with applications ranging from statistical physics and thermodynamics to system's biology and the simulation of complex systems.…

Information Theory · Computer Science 2021-11-09 Alexandre L. M. Levada

Currently, the area of geometric modeling and the construction of 3D models based on point clouds from laser sensors is actively developing. One of the basic tasks of geometric modeling is the reconstruction of a surface from a cloud of…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-09 Marat Ildarovich Khabibulin

We study parameterized versions of classical algorithms for computing shortest-path trees. This is most easily expressed in terms of tropical geometry. Applications include shortest paths in traffic networks with variable link travel times.

Combinatorics · Mathematics 2022-08-05 Michael Joswig , Benjamin Schröter

Given an undirected graph and two disjoint vertex pairs $s_1,t_1$ and $s_2,t_2$, the Shortest two disjoint paths problem (S2DP) asks for the minimum total length of two vertex disjoint paths connecting $s_1$ with $t_1$, and $s_2$ with…

Data Structures and Algorithms · Computer Science 2018-06-21 Andreas Björklund , Thore Husfeldt

A methodology is developed for data analysis based on empirically constructed geodesic metric spaces. For a probability distribution, the length along a path between two points can be defined as the amount of probability mass accumulated…

Statistics Theory · Mathematics 2019-03-18 Kei Kobayashi , Henry P. Wynn

We study shortest curves in proximally smooth subsets of a Hilbert space. We consider an $R$-proximally smooth set $A$ in a Hilbert space with points $a$ and $b$ satisfying $\left|{a-b}\right| < 2R.$ We provide a simple geometric algorithm…

Functional Analysis · Mathematics 2024-11-26 Grigory M. Ivanov , Mariana S. Lopushanski , Grigorii E. Ivanov

Calculating and categorizing the similarity of curves is a fundamental problem which has generated much recent interest. However, to date there are no implementations of these algorithms for curves on surfaces with provable guarantees on…

Computational Geometry · Computer Science 2014-10-10 Erin Wolf Chambers , Mikael Vejdemo-Johansson

This paper investigates the relationship between a system of differential equations and the underlying geometry associated with it. The geometry of a surface determines shortest paths, or geodesics connecting nearby points, which are…

Differential Geometry · Mathematics 2007-05-23 Richard Atkins

In this paper, we prove, using only elementary geometric arguments and only assuming that the curves are continuous, that the geodesics on a sphere are the minor arcs of the great circles. Our result are valid for any sphere in any inner…

General Mathematics · Mathematics 2025-01-07 Mauro Patrão

This paper is concerned with the computation of an optimal matching between two manifold-valued curves. Curves are seen as elements of an infinite-dimensional manifold and compared using a Riemannian metric that is invariant under the…

Differential Geometry · Mathematics 2024-01-11 Alice Le Brigant , Marc Arnaudon , Frédéric Barbaresco

We present GeGnn, a learning-based method for computing the approximate geodesic distance between two arbitrary points on discrete polyhedra surfaces with constant time complexity after fast precomputation. Previous relevant methods either…

Computer Vision and Pattern Recognition · Computer Science 2023-10-05 Bo Pang , Zhongtian Zheng , Guoping Wang , Peng-Shuai Wang

Metrics on shape space are used to describe deformations that take one shape to another, and to determine a distance between them. We study a family of metrics on the space of curves, that includes several recently proposed metrics, for…

Differential Geometry · Mathematics 2014-10-07 Martin Bauer , Martins Bruveris , Stephen Marsland , Peter W. Michor

Given an undirected, weighted graph, with $n$ vertices and $m$ edges, and two special vertices $s$ and $t$, the problem is to find the shortest path between them. We give two bounded-error quantum algorithms with improved runtime in the…

Quantum Physics · Physics 2026-03-20 Adam Wesołowski , Stephen Piddock

Manifolds discovered by machine learning models provide a compact representation of the underlying data. Geodesics on these manifolds define locally length-minimising curves and provide a notion of distance, which are key for reduced-order…

Machine Learning · Computer Science 2023-05-25 Daniel Kelshaw , Luca Magri

In this paper, an algorithm to compute a certified $G^1$ rational parametric approximation for algebraic space curves is given by extending the local generic position method for solving zero dimensional polynomial equation systems to the…

Computational Geometry · Computer Science 2012-04-05 Jin-San Cheng , Kai Jin , Xiao-Shan Gao , Daniel Lazard

Finding the shortest path between two points in a graph is a fundamental problem that has been well-studied over the past several decades. Shortest path algorithms are commonly applied to modern navigation systems, so our study aims to…

Data Structures and Algorithms · Computer Science 2022-08-02 Kevin Y. Chen

A classical inequality which is due to Lickorish and Hempel says that the distance between two curves in the curve complex can be measured by their intersection number. In this paper, we show a converse version; the intersection number of…

Geometric Topology · Mathematics 2016-04-27 Yohsuke Watanabe

The geodesic between two points $a$ and $b$ in the interior of a simple polygon~$P$ is the shortest polygonal path inside $P$ that connects $a$ to $b$. It is thus the natural generalization of straight line segments on unconstrained point…

Computational Geometry · Computer Science 2017-08-22 Oswin Aichholzer , Matias Korman , Alexander Pilz , Birgit Vogtenhuber

We present a new preprocessing algorithm for embedding the nodes of a given edge-weighted undirected graph into a Euclidean space. The Euclidean distance between any two nodes in this space approximates the length of the shortest path…

Artificial Intelligence · Computer Science 2017-12-25 Liron Cohen , Tansel Uras , Shiva Jahangiri , Aliyah Arunasalam , Sven Koenig , T. K. Satish Kumar