Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective

26 August 2020

Papers citing "Unlabeled Data Help in Graph-Based Semi-Supervised Learning: A Bayesian Nonparametrics Perspective"

4 / 4 papers shown

Title
$Spectral Convergence of Graph Laplacian and Heat Kernel Reconstruction in $L^\infty$ from Random Samples$ Spectral Convergence of Graph Laplacian and Heat Kernel Reconstruction in $L^\infty$ from Random Samples David B. Dunson Hau‐Tieng Wu Nan Wu 38 65 0 11 Dec 2019
Local Regularization of Noisy Point Clouds: Improved Global Geometric Estimates and Data Analysis Nicolas García Trillos D. Sanz-Alonso Ruiyi Yang 3DPC 28 17 0 06 Apr 2019
Error estimates for spectral convergence of the graph Laplacian on random geometric graphs towards the Laplace--Beltrami operator Nicolas García Trillos Moritz Gerlach Matthias Hein D. Slepčev 75 172 0 30 Jan 2018
A Tutorial on Spectral Clustering U. V. Luxburg 197 10,497 0 01 Nov 2007