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Let $\mu$ be a Gibbs measure of the doubling map $T$ of the circle. For a $\mu$-generic point $x$ and a given sequence $\{r_n\} \subset \R^+$, consider the intervals $(T^nx - r_n \pmod 1, T^nx + r_n \pmod 1)$. In analogy to the classical…

Dynamical Systems · Mathematics 2014-03-25 Ai-Hua Fan , Joerg Schmeling , Serge Troubetzkoy

Semantic image segmentation is the process of labeling each pixel of an image with its corresponding class. An encoder-decoder based approach, like U-Net and its variants, is a popular strategy for solving medical image segmentation tasks.…

Image and Video Processing · Electrical Eng. & Systems 2020-06-30 Debesh Jha , Michael A. Riegler , Dag Johansen , Pål Halvorsen , Håvard D. Johansen

We give a proof of the $A_2$ conjecture in geometrically doubling metric spaces (GDMS), i.e. a metric space where one can fit not more than a fixed amount of disjoint balls of radius $r$ in a ball of radius $2r$. Our proof consists of three…

Classical Analysis and ODEs · Mathematics 2013-01-11 Fedor Nazarov , Alexander Reznikov , Alexander Volberg

If $X$ is an analytic metric space satisfying a very mild doubling condition, then for any finite Borel measure $\mu$ on $X$ there is a set $N\subseteq X$ such that $\mu(N)>0$, an ultrametric space $Z$ and a Lipschitz bijection $\phi:N\to…

Classical Analysis and ODEs · Mathematics 2018-02-23 Ondřej Zindulka

A limitation on simultaneous measurement of two arbitrary positive operator valued measures is discussed. In general, simultaneous measurement of two noncommutative observables is only approximately possible. Following Werner's formulation,…

Quantum Physics · Physics 2008-12-01 Takayuki Miyadera , Hideki Imai

For many optimization problems it is possible to define a distance metric between problem variables that correlates with the likelihood and strength of interactions between the variables. For example, one may define a metric so that the…

Neural and Evolutionary Computing · Computer Science 2012-01-12 Martin Pelikan , Mark W. Hauschild

In this paper, we present a novel two-stage metric learning algorithm. We first map each learning instance to a probability distribution by computing its similarities to a set of fixed anchor points. Then, we define the distance in the…

Machine Learning · Computer Science 2014-05-16 Jun Wang , Ke Sun , Fei Sha , Stephane Marchand-Maillet , Alexandros Kalousis

In this paper we offer a metric similar to graph edit distance which measures the distance between two (possibly infinite)weighted graphs with finite norm (we define the norm of a graph as the sum of absolute values of its edges). The main…

Metric Geometry · Mathematics 2009-06-16 Hamed Daneshpajouh , Hamid Reza Daneshpajouh , Farzad Didehvar

The theory for multiplier empirical processes has been one of the central topics in the development of the classical theory of empirical processes, due to its wide applicability to various statistical problems. In this paper, we develop…

Statistics Theory · Mathematics 2021-02-12 Qiyang Han

Following his discovery that finite metric spaces have injective envelopes naturally admitting a polyhedral structure, Isbell, in his pioneering work on injective metric spaces, attempted a characterization of cellular complexes admitting…

Metric Geometry · Mathematics 2018-08-15 Jared Culbertson , Dan P. Guralnik , Peter F. Stiller

We construct a multiset space $\mathbb{N}[X]$ over a metric space $X$ that simultaneously enjoys desirable topological properties and admits a natural matching metric $d_{\mathbb{N}[X]}$, making it a metrizable abelian topological monoid…

Metric Geometry · Mathematics 2025-10-14 Donghan Kim

Analogous to the notion of mutually unbiased bases for Hilbert spaces, we consider mutually unbiased unitary bases (MUUB) for the space of operators, $M(d, \mathbb{C})$, acting on such Hilbert spaces. The notion of MUUB reflects the…

Quantum Physics · Physics 2020-12-21 Rinie N. M. Nasir , Jesni Shamsul Shaari , Stefano Mancini

In this paper using the concept of the extended Hamming code we give a construction for dense packing of points at distance at least one in such unit cubes which dimension are a power of two.

Metric Geometry · Mathematics 2009-10-07 Á. G. Horváth

In this paper we study connections between Besov spaces of functions on a compact metric space $Z$, equipped with a doubling measure, and the Newton--Sobolev space of functions on a uniform domain $X_\varepsilon$. This uniform domain is…

Metric Geometry · Mathematics 2022-02-17 Anders Bjorn , Jana Bjorn , Nageswari Shanmugalingam

Given a probability measure with density, Fermat distances and density-driven metrics are conformal transformations of the Euclidean metric that shrink distances in high density areas and enlarge distances in low density areas. Although…

Statistics Theory · Mathematics 2026-01-22 Jérôme Taupin , Frédéric Chazal

Let X be a non-empty set and U a ring of subsets of X. The countable additive functions U->{0,1} are called measures. The paper gives some definitions (derivable measures, the Lebesgue-Stieltjes measures) and properties of these functions,…

General Mathematics · Mathematics 2007-05-23 Serban E. Vlad

The Urysohn space is a separable complete metric space with two fundamental properties: (a) universality: every separable metric space can be isometrically embedded in it; (b) ultrahomogeneity: every finite isometry between two finite…

Metric Geometry · Mathematics 2017-12-05 David Bryant , André Nies , Paul Tupper

In these notes we generalize the notion of a (pseudo) metric measuring the distance of two points, to a (pseudo) n-metric which assigns a value to a tuple of n points. We present two principles of constructing pseudo n-metrics. The first…

Metric Geometry · Mathematics 2023-10-19 Wolf-Jürgen Beyn

In the setting of a non-complete doubling metric measure space $(\Omega,d,\mu)$, we construct various bounded linear trace and extension operators for homogeneous and inhomogeneous Besov spaces $B^\alpha_{p,q}$. Equipping the boundary…

Metric Geometry · Mathematics 2025-10-03 Iván Caamaño , Josh Kline

We present a general method to derive continuity estimates for conditional probabilities of general (possibly continuous) spin models sub jected to local transformations. Such systems arise in the study of a stochastic time-evolution of…

Probability · Mathematics 2007-11-26 C. Kuelske , A. A. Opoku