Results 31 to 40 of about 31,101 (332)
Curve Based Approximation of Measures on Manifolds by Discrepancy Minimization [PDF]
Foundations of Computational Mathematics, 2019 The approximation of probability measures on compact metric spaces and in particular on Riemannian manifolds by atomic or empirical ones is a classical task in approximation and complexity theory with a wide range of applications.
M. Ehler +3 more
semanticscholar +1 more source
Targeted Separation and Convergence with Kernel Discrepancies [PDF]
Journal of machine learning research, 2022 Maximum mean discrepancies (MMDs) like the kernel Stein discrepancy (KSD) have grown central to a wide range of applications, including hypothesis testing, sampler selection, distribution approximation, and variational inference.
A. Barp +3 more
semanticscholar +1 more source
Carleson Measures and Logvinenko-Sereda sets on compact manifolds [PDF]
, 2013 Given a compact Riemannian manifold $M$ of dimension $m \geq 2$, we study the space of functions of $L^2(M)$generated by eigenfunctions of eigenvalues less than $L \geq 1$ associated to the Laplace-Beltrami operator on $M$.
Bharti Pridhnani +3 more
core +1 more source
On the Generalizations of Universality Theorem for L-Functions of Elliptic Curves
Jaunųjų Mokslininkų Darbai, 2017 In the paper, the continuous type’s universality theorem for L-functions of elliptic curves is discussed and its generalizations in three directions – for positive integer powers and derivatives of L-functions of elliptic curves as well as the weighted ...
Virginija Garbaliauskienė
doaj +1 more source
Applied Sciences, 2021 The COVID-19 pandemic has challenged all physical interactions. Social distancing, face masks and other rules have reshaped our way of living during the last year.
Rubén Ferrero-Guillén +3 more
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Review: P. Billingsley, Convergence of probability measures
, 1971 The author's preface gives an outline: "This book is about weakconvergence methods in metric spaces, with applications sufficient to show their power and utility.
R. M. Dudley
semanticscholar +1 more source
Atmosphere, 2023 This study aimed to accurately grasp the impact mechanism and change rule of buildings and green spaces on land surface temperature (LST), which is of great significance for alleviating urban heat islands (UHIs) and formulating adaptation measures ...
Jiayun Wang +4 more
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Empirical optimal transport between different measures adapts to lower complexity [PDF]
Annales De L Institut Henri Poincare-probabilites Et Statistiques, 2022 The empirical optimal transport (OT) cost between two probability measures from random data is a fundamental quantity in transport based data analysis.
Shayan Hundrieser +2 more
semanticscholar +1 more source
Nihon Kikai Gakkai ronbunshu, 2021 In this paper, “the stereo matching interface” as a new visual recognition interface for remote operations is proposed. It satisfies the following functional requirements, which have been developed through a survey of prior arts.
Takumi KAWAMURA
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Strongly nonlinear potential theory on metric spaces
Abstract and Applied Analysis, 2002 We define Orlicz-Sobolev spaces on an arbitrary metric space with a Borel regular outer measure, and we develop a capacity theory based on these spaces. We study basic properties of capacity and several convergence results.
Noureddine Aïssaoui
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