Manifold learning with arbitrary norms

28 December 2020

Papers citing "Manifold learning with arbitrary norms"

24 / 24 papers shown

Title
Wasserstein K-Means for Clustering Tomographic Projections R. Rao Amit Moscovich A. Singer 53 11 0 20 Oct 2020
Product Manifold Learning Sharon Zhang Amit Moscovich A. Singer 50 14 0 19 Oct 2020
Spectral convergence of diffusion maps: improved error bounds and an alternative normalisation Caroline L. Wormell Sebastian Reich 29 38 0 03 Jun 2020
Earthmover-based manifold learning for analyzing molecular conformation spaces Nathan Zelesko Amit Moscovich Joe Kileel A. Singer DiffM 90 20 0 16 Oct 2019
Hyper-Molecules: on the Representation and Recovery of Dynamical Structures, with Application to Flexible Macro-Molecular Structures in Cryo-EM Roy R. Lederman Joakim Andén A. Singer 49 30 0 02 Jul 2019
Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumes Amit Moscovich Amit Halevi Joakim Andén A. Singer 43 54 0 01 Jul 2019
The steerable graph Laplacian and its application to filtering image data-sets Boris Landa Y. Shkolnisky 32 19 0 06 Feb 2018
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 68 172 0 30 Jan 2018
Approximation of Functions over Manifolds: A Moving Least-Squares Approach B. Sober Yariv Aizenbud D. Levin 38 21 0 02 Nov 2017
Data-Driven Tree Transforms and Metrics Zhengchao Wan Ronen Talmon Israel Cohen Ronald R. Coifman Y. Kluger 34 21 0 18 Aug 2017
Minimax-optimal semi-supervised regression on unknown manifolds Amit Moscovich Ariel Jaffe B. Nadler 37 29 0 07 Nov 2016
The embedding dimension of Laplacian eigenfunction maps Jonathan Bates 8 26 0 04 May 2016
Minimax Rates for Estimating the Dimension of a Manifold Jisu Kim Alessandro Rinaldo Larry A. Wasserman 185 24 0 03 May 2016
A Spectral Series Approach to High-Dimensional Nonparametric Regression Ann B. Lee Rafael Izbicki BDL AI4TS 181 37 0 01 Feb 2016
Hierarchical Coupled Geometry Analysis for Neuronal Structure and Activity Pattern Discovery Zhengchao Wan Ronen Talmon Ron Meir Jackie Schiller Uri Dubin Ronald R. Coifman AI4CE 34 43 0 06 Nov 2015
A variational approach to the consistency of spectral clustering Nicolas García Trillos D. Slepčev 51 128 0 08 Aug 2015
Moments and Absolute Moments of the Normal Distribution Andreas Winkelbauer 54 191 0 19 Sep 2012
Local Linear Regression on Manifolds and its Geometric Interpretation Ming-Yen Cheng Hau‐Tieng Wu 46 87 0 01 Jan 2012
k-NN Regression Adapts to Local Intrinsic Dimension Samory Kpotufe 171 128 0 19 Oct 2011
An Analysis of the Convergence of Graph Laplacians Daniel Ting Ling Huang Michael I. Jordan 53 144 0 28 Jan 2011
Minimax Manifold Estimation Christopher R. Genovese M. Perone-Pacifico I. Verdinelli Larry A. Wasserman 62 128 0 04 Jul 2010
Consistency of spectral clustering U. V. Luxburg M. Belkin Olivier Bousquet 85 417 0 04 Apr 2008
A Tutorial on Spectral Clustering U. V. Luxburg 158 10,497 0 01 Nov 2007
Local polynomial regression on unknown manifolds Peter J. Bickel Bo Li 170 129 0 07 Aug 2007