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Kernel Scaling for Manifold Learning and Classification
v1v2 (latest)

Kernel Scaling for Manifold Learning and Classification

4 July 2017
Ofir Lindenbaum
Moshe Salhov
A. Yeredor
Amir Averbuch
ArXiv (abs)PDFHTML

Papers citing "Kernel Scaling for Manifold Learning and Classification"

5 / 5 papers shown
Differentiable Unsupervised Feature Selection based on a Gated Laplacian
Differentiable Unsupervised Feature Selection based on a Gated Laplacian
Ofir Lindenbaum
Uri Shaham
Jonathan Svirsky
Erez Peterfreund
Y. Kluger
437
6
0
09 Jul 2020
Spectral convergence of diffusion maps: improved error bounds and an
  alternative normalisation
Spectral convergence of diffusion maps: improved error bounds and an alternative normalisationSIAM Journal on Numerical Analysis (SINUM), 2020
Caroline L. Wormell
Sebastian Reich
418
47
0
03 Jun 2020
LOCA: LOcal Conformal Autoencoder for standardized data coordinates
LOCA: LOcal Conformal Autoencoder for standardized data coordinatesProceedings of the National Academy of Sciences of the United States of America (PNAS), 2020
Erez Peterfreund
Ofir Lindenbaum
Felix Dietrich
Tom S. Bertalan
M. Gavish
Ioannis G. Kevrekidis
Ronald R. Coifman
366
30
0
15 Apr 2020
The Spectral Underpinning of word2vec
The Spectral Underpinning of word2vecFrontiers in Applied Mathematics and Statistics (FAMS), 2020
Ariel Jaffe
Y. Kluger
Ofir Lindenbaum
J. Patsenker
Erez Peterfreund
Stefan Steinerberger
379
9
0
27 Feb 2020
Geometry-Based Data Generation
Geometry-Based Data Generation
Ofir Lindenbaum
Jay S. Stanley
Guy Wolf
Smita Krishnaswamy
252
36
0
14 Feb 2018
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