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We consider mappings satisfying an upper bound for the distortion of families of curves. We establish lower bounds for the distortion of distances under such mappings. As applications, we obtain theorems on the discreteness of the limit…

Complex Variables · Mathematics 2024-11-07 Evgeny Sevost'yanov , Denys Romash , Nataliya Ilkevych

A comprehensive framework for detection and characterization of overlapping intrinsic symmetry over 3D shapes is proposed. To identify prominent symmetric regions which overlap in space and vary in form, the proposed framework is decoupled…

Graphics · Computer Science 2013-10-01 Anirban Mukhopadhyay , Suchendra M. Bhandarkar , Fatih Porikli

We characterise rectifiable subsets of a complete metric space $X$ in terms of local approximation, with respect to the Gromov--Hausdorff distance, by an $n$-dimensional Banach space. In fact, if $E\subset X$ with $\mathcal{H}^n(E)<\infty$…

Metric Geometry · Mathematics 2022-11-23 David Bate

We propose a new concept of generalized differentiation of set-valued maps that captures the first order information. This concept encompasses the standard notions of Frechet differentiability, strict differentiability, calmness and…

Optimization and Control · Mathematics 2011-01-04 C. H. Jeffrey Pang

We study adaptive data-dependent dimensionality reduction in the context of supervised learning in general metric spaces. Our main statistical contribution is a generalization bound for Lipschitz functions in metric spaces that are…

Machine Learning · Computer Science 2015-03-26 Lee-Ad Gottlieb , Aryeh Kontorovich , Robert Krauthgamer

The Gromov--Hausdorff distance measures the difference in shape between compact metric spaces. While even approximating the distance up to any practical factor poses an NP-hard problem, its relaxations have proven useful for the problems in…

Metric Geometry · Mathematics 2022-09-12 Vladyslav Oles , Kevin R. Vixie

In this study, a pairwise comparison matrix is generalized to the case when coefficients create Lie group $G$, non necessarily abelian. A necessary and sufficient criterion for pairwise comparisons matrices to be consistent is provided.…

Logic · Mathematics 2018-07-12 Waldemar W. Koczkodaj , Jean-Pierre Magnot

Person Re-identification (Re-ID) is a crucial technique for public security and has made significant progress in supervised settings. However, the cross-domain (i.e., domain generalization) scene presents a challenge in Re-ID tasks due to…

Computer Vision and Pattern Recognition · Computer Science 2024-04-30 Lei Qi , Ziang Liu , Yinghuan Shi , Xin Geng

Any procedure applied to data, and any quantity derived from data, is required to respect the nature and symmetries of the data. This axiom applies to refinement procedures and multiresolution transforms as well as to more basic operations…

Numerical Analysis · Mathematics 2019-07-18 Johannes Wallner

A generalization of the notion of a (pseudo-) Riemannian space is proposed in a framework of noncommutative geometry. In particular, there are parametrized families of generalized Riemannian spaces which are deformations of classical…

Mathematical Physics · Physics 2008-11-06 A. Dimakis , F. Muller-Hoissen

For regular one-dimensional variational problems, Ball and Nadirashvilli introduced the notion of the universal singular set of a Lagrangian L and established its topological negligibility. This set is defined to be the set of all points in…

Classical Analysis and ODEs · Mathematics 2007-05-23 Marianna Csornyei , Bernd Kirchheim , Toby C. O'Neil , David Preiss , Steffen Winter

We consider the problem of positioning a cloud of points in the Euclidean space $\mathbb{R}^d$, using noisy measurements of a subset of pairwise distances. This task has applications in various areas, such as sensor network localization and…

Statistics Theory · Mathematics 2012-11-22 Adel Javanmard , Andrea Montanari

In this work we introduce the use of powerful tools from geometric measure theory (GMT) to study problems related to the size and structure of sets of mutual absolute continuity for the inside and outside harmonic measures of domains in…

Analysis of PDEs · Mathematics 2007-10-25 Carlos E. Kenig , David Preiss , Tatiana Toro

A total set of states for which we have no resolution of the identity (a `pre-basis'), is considered in a finite dimensional Hilbert space. A dressing formalism renormalizes them into density matrices which resolve the identity, and makes…

Mathematical Physics · Physics 2017-08-30 A. Vourdas

Group synchronization refers to estimating a collection of group elements from the noisy pairwise measurements. Such a nonconvex problem has received much attention from numerous scientific fields including computer vision, robotics, and…

Optimization and Control · Mathematics 2021-12-14 Linglingzhi Zhu , Jinxin Wang , Anthony Man-Cho So

Herein, a methodology is developed to replicate functions, measures and stochastic processes onto a compact metric space. Many results are easily established for the replica objects and then transferred back to the original ones. Two…

Probability · Mathematics 2020-11-03 Chi Dong , Michael A. Kouritzin

Let $E\subset \mathbb{R}^{n+1}$, $n\ge 2$, be an Ahlfors-David regular set of dimension $n$. We show that the weak-$A_\infty$ property of harmonic measure, for the open set $\Omega:= \mathbb{R}^{n+1}\setminus E$, implies uniform…

Classical Analysis and ODEs · Mathematics 2015-05-26 Steve Hofmann , J. M. Martell

A central question in General Relativity (GR) is how to determine whether singularities are geometrical properties of spacetime, or simply anomalies of a coordinate system used to parameterize the spacetime. In particular, it is an open…

General Relativity and Quantum Cosmology · Physics 2020-11-10 Moritz Reintjes , Blake Temple

We study Lipschitz differentiability spaces, a class of metric measure spaces introduced by Cheeger. We show that if an Ahlfors regular Lipschitz differentiability space has charts of maximal dimension, then, at almost every point, all its…

Metric Geometry · Mathematics 2014-05-13 Guy C. David

It is well-understood that the robustness of mechanical and robotic control systems depends critically on minimizing sensitivity to arbitrary application-specific details whenever possible. For example, if a system is defined and performs…

Signal Processing · Electrical Eng. & Systems 2018-06-06 Bo Zhang , Jeffrey Uhlmann
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