Manifold Learning Using Kernel Density Estimation and Local Principal Components Analysis

11 September 2017

Papers citing "Manifold Learning Using Kernel Density Estimation and Local Principal Components Analysis"

6 / 6 papers shown

Title
Asymptotic theory for density ridges Yen-Chi Chen Christopher R. Genovese Larry A. Wasserman 67 84 0 22 Jun 2014
A useful variant of the Davis--Kahan theorem for statisticians Yi Yu Tengyao Wang R. Samworth 105 578 0 04 May 2014
Testing the Manifold Hypothesis Charles Fefferman S. Mitter Hariharan Narayanan 161 536 0 01 Oct 2013
Nonparametric ridge estimation Christopher R. Genovese M. Perone-Pacifico I. Verdinelli Larry A. Wasserman 143 120 0 20 Dec 2012
Manifold estimation and singular deconvolution under Hausdorff loss Christopher R. Genovese M. Perone-Pacifico I. Verdinelli Larry A. Wasserman UQCV 96 101 0 21 Sep 2011
Minimax Manifold Estimation Christopher R. Genovese M. Perone-Pacifico I. Verdinelli Larry A. Wasserman 132 128 0 04 Jul 2010