Approximation of Functions over Manifolds: A Moving Least-Squares
Approach

v1v2v3v4 (latest)

Approximation of Functions over Manifolds: A Moving Least-Squares Approach

2 November 2017

ArXiv (abs)PDF HTML

Papers citing "Approximation of Functions over Manifolds: A Moving Least-Squares Approach"

8 / 8 papers shown

Title
Diffusion Maps for Group-Invariant Manifolds Paulina Hoyos Joe Kileel 60 2 0 28 Mar 2023
Manifold Free Riemannian Optimization B. Shustin H. Avron B. Sober 60 2 0 07 Sep 2022
Convergence rates of vector-valued local polynomial regression Yariv Aizenbud B. Sober 52 3 0 13 Jul 2021
Non-Parametric Estimation of Manifolds from Noisy Data Yariv Aizenbud B. Sober 71 19 0 11 May 2021
Manifold learning with arbitrary norms Joe Kileel Amit Moscovich Nathan Zelesko A. Singer 104 27 0 28 Dec 2020
Approximating the Riemannian Metric from Point Clouds via Manifold Moving Least Squares B. Sober Robert J. Ravier Ingrid Daubechies 34 7 0 20 Jul 2020
Approximating the Span of Principal Components via Iterative Least-Squares Yariv Aizenbud B. Sober 32 3 0 28 Jul 2019
Manifold Approximation by Moving Least-Squares Projection (MMLS) B. Sober D. Levin 94 41 0 22 Jun 2016