Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis

6 April 2019

Papers citing "Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis"

10 / 10 papers shown

Title
Support and distribution inference from noisy data Jérémie Capitao-Miniconi Elisabeth Gassiat Luc Lehéricy 61 1 0 19 Apr 2023
Optimization on Manifolds via Graph Gaussian Processes Hwanwoo Kim D. Sanz-Alonso Ruiyi Yang 86 2 0 20 Oct 2022
Optimal Reach Estimation and Metric Learning Eddie Aamari Clément Berenfeld Clément Levrard 59 9 0 13 Jul 2022
Mathematical Foundations of Graph-Based Bayesian Semi-Supervised Learning Nicolas García Trillos D. Sanz-Alonso Ruiyi Yang SSL 64 3 0 03 Jul 2022
Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective D. Sanz-Alonso Ruiyi Yang SSL 73 10 0 26 Aug 2020
The SPDE Approach to Matérn Fields: Graph Representations D. Sanz-Alonso Ruiyi Yang 56 19 0 16 Apr 2020
Improved spectral convergence rates for graph Laplacians on epsilon-graphs and k-NN graphs Jeff Calder Nicolas García Trillos 103 40 0 29 Oct 2019
Kernel Methods for Bayesian Elliptic Inverse Problems on Manifolds J. Harlim D. Sanz-Alonso Ruiyi Yang 77 19 0 23 Oct 2019
Structure-adaptive manifold estimation Nikita Puchkin V. Spokoiny 33 15 0 12 Jun 2019
On the Consistency of Graph-based Bayesian Learning and the Scalability of Sampling Algorithms Nicolas García Trillos Zachary T. Kaplan Thabo Samakhoana D. Sanz-Alonso 64 19 0 20 Oct 2017