Non-Parametric Estimation of Manifolds from Noisy Data

11 May 2021

Papers citing "Non-Parametric Estimation of Manifolds from Noisy Data"

8 / 8 papers shown

Title
Quadratic Matrix Factorization with Applications to Manifold Learning Zheng Zhai Hengchao Chen Qiang Sun 23 4 0 30 Jan 2023
Manifold Free Riemannian Optimization B. Shustin H. Avron B. Sober 23 2 0 07 Sep 2022
Tangent Space and Dimension Estimation with the Wasserstein Distance Uzu Lim Harald Oberhauser Vidit Nanda 44 8 0 12 Oct 2021
Convergence rates of vector-valued local polynomial regression Yariv Aizenbud B. Sober 24 3 0 13 Jul 2021
Scalability and robustness of spectral embedding: landmark diffusion is all you need Chao Shen Hau‐Tieng Wu 34 24 0 03 Jan 2020
Fitting a manifold of large reach to noisy data Charles Fefferman Sergei Ivanov Matti Lassas Hariharan Narayanan 11 23 0 11 Oct 2019
Manifold Fitting under Unbounded Noise Zhigang Yao Yuqing Xia 25 12 0 23 Sep 2019
An algorithm for the principal component analysis of large data sets N. Halko P. Martinsson Y. Shkolnisky M. Tygert 62 277 0 30 Jul 2010