Manifold learning with arbitrary norms

28 December 2020

Papers citing "Manifold learning with arbitrary norms"

10 / 10 papers shown

Title
Manifold learning in metric spaces Liane Xu Amit Singer 59 0 0 20 Mar 2025
Multi-label feature selection based on binary hashing learning and dynamic graph constraints Cong Guo Changqin Huang Wenhua Zhou Xiaodi Huang 48 0 0 18 Mar 2025
Alignment of Density Maps in Wasserstein Distance A. Singer Ruiyi Yang 17 8 0 21 May 2023
Applications of No-Collision Transportation Maps in Manifold Learning Elisa Negrini L. Nurbekyan OT 8 4 0 01 Apr 2023
Discovering Conservation Laws using Optimal Transport and Manifold Learning Peter Y. Lu Rumen Dangovski M. Soljavcić 11 17 0 31 Aug 2022
Wassmap: Wasserstein Isometric Mapping for Image Manifold Learning Keaton Hamm Nick Henscheid Shujie Kang 8 16 0 13 Apr 2022
Wasserstein K-Means for Clustering Tomographic Projections R. Rao Amit Moscovich A. Singer 14 10 0 20 Oct 2020
Product Manifold Learning Sharon Zhang Amit Moscovich A. Singer 23 13 0 19 Oct 2020
Minimax Rates for Estimating the Dimension of a Manifold Jisu Kim Alessandro Rinaldo Larry A. Wasserman 153 24 0 03 May 2016
A Spectral Series Approach to High-Dimensional Nonparametric Regression Ann B. Lee Rafael Izbicki BDL AI4TS 104 36 0 01 Feb 2016