ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1606.07104
  4. Cited By
Manifold Approximation by Moving Least-Squares Projection (MMLS)
v1v2v3v4v5v6v7 (latest)

Manifold Approximation by Moving Least-Squares Projection (MMLS)

22 June 2016
B. Sober
D. Levin
ArXiv (abs)PDFHTML

Papers citing "Manifold Approximation by Moving Least-Squares Projection (MMLS)"

16 / 16 papers shown
Title
Fast, Accurate Manifold Denoising by Tunneling Riemannian Optimization
Shiyu Wang
Mariam Avagyan
Yihan Shen
Arnaud Lamy
Tingran Wang
S. Márka
Z. Márka
John N. Wright
64
0
0
24 Feb 2025
High-Dimensional Bayesian Optimization via Random Projection of Manifold
  Subspaces
High-Dimensional Bayesian Optimization via Random Projection of Manifold Subspaces
Quoc-Anh Hoang Nguyen
The Hung Tran
115
2
0
21 Dec 2024
Subspace-Constrained Quadratic Matrix Factorization: Algorithm and
  Applications
Subspace-Constrained Quadratic Matrix Factorization: Algorithm and Applications
Zheng Zhai
Xiaohui Li
63
0
0
07 Nov 2024
Design a Metric Robust to Complicated High Dimensional Noise for
  Efficient Manifold Denoising
Design a Metric Robust to Complicated High Dimensional Noise for Efficient Manifold Denoising
Hau-tieng Wu
DiffM
48
2
0
08 Jan 2024
Manifold Fitting
Manifold Fitting
Z. Yao
Jiaji Su
Bingjie Li
S. Yau
114
3
0
16 Apr 2023
Quadratic Matrix Factorization with Applications to Manifold Learning
Quadratic Matrix Factorization with Applications to Manifold Learning
Zheng Zhai
Hengchao Chen
Qiang Sun
62
4
0
30 Jan 2023
Manifold Free Riemannian Optimization
Manifold Free Riemannian Optimization
B. Shustin
H. Avron
B. Sober
60
2
0
07 Sep 2022
A Priori Denoising Strategies for Sparse Identification of Nonlinear
  Dynamical Systems: A Comparative Study
A Priori Denoising Strategies for Sparse Identification of Nonlinear Dynamical Systems: A Comparative Study
A. Cortiella
K. Park
Alireza Doostan
73
16
0
29 Jan 2022
Convergence rates of vector-valued local polynomial regression
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
Non-Parametric Estimation of Manifolds from Noisy Data
Yariv Aizenbud
B. Sober
71
19
0
11 May 2021
Kernel-based parameter estimation of dynamical systems with unknown
  observation functions
Kernel-based parameter estimation of dynamical systems with unknown observation functions
Ofir Lindenbaum
A. Sagiv
Zhengchao Wan
Ronen Talmon
40
5
0
09 Sep 2020
Approximating the Riemannian Metric from Point Clouds via Manifold
  Moving Least Squares
Approximating the Riemannian Metric from Point Clouds via Manifold Moving Least Squares
B. Sober
Robert J. Ravier
Ingrid Daubechies
51
7
0
20 Jul 2020
Fitting a manifold of large reach to noisy data
Fitting a manifold of large reach to noisy data
Charles Fefferman
Sergei Ivanov
Matti Lassas
Hariharan Narayanan
66
24
0
11 Oct 2019
Approximating the Span of Principal Components via Iterative
  Least-Squares
Approximating the Span of Principal Components via Iterative Least-Squares
Yariv Aizenbud
B. Sober
40
3
0
28 Jul 2019
Approximation of Functions over Manifolds: A Moving Least-Squares
  Approach
Approximation of Functions over Manifolds: A Moving Least-Squares Approach
B. Sober
Yariv Aizenbud
D. Levin
80
21
0
02 Nov 2017
Efficient Manifold and Subspace Approximations with Spherelets
Efficient Manifold and Subspace Approximations with Spherelets
Didong Li
Minerva Mukhopadhyay
David B. Dunson
52
21
0
26 Jun 2017
1