Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise

22 June 2022

Papers citing "Bi-stochastically normalized graph Laplacian: convergence to manifold Laplacian and robustness to outlier noise"

4 / 4 papers shown

Title
Manifold learning in metric spaces Liane Xu Amit Singer 59 0 0 20 Mar 2025
Entropic Optimal Transport Eigenmaps for Nonlinear Alignment and Joint Embedding of High-Dimensional Datasets Boris Landa Y. Kluger Rong Ma 19 0 0 01 Jul 2024
Robust Inference of Manifold Density and Geometry by Doubly Stochastic Scaling Boris Landa Xiuyuan Cheng 34 6 0 16 Sep 2022
Eigen-convergence of Gaussian kernelized graph Laplacian by manifold heat interpolation Xiuyuan Cheng Nan Wu 60 29 0 25 Jan 2021