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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
Title
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
110
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 normalisation
Caroline L. Wormell
Sebastian Reich
73
39
0
03 Jun 2020
LOCA: LOcal Conformal Autoencoder for standardized data coordinates
LOCA: LOcal Conformal Autoencoder for standardized data coordinates
Erez Peterfreund
Ofir Lindenbaum
Felix Dietrich
Tom S. Bertalan
M. Gavish
Ioannis G. Kevrekidis
Ronald R. Coifman
106
22
0
15 Apr 2020
The Spectral Underpinning of word2vec
The Spectral Underpinning of word2vec
Ariel Jaffe
Y. Kluger
Ofir Lindenbaum
J. Patsenker
Erez Peterfreund
Stefan Steinerberger
59
8
0
27 Feb 2020
Geometry-Based Data Generation
Geometry-Based Data Generation
Ofir Lindenbaum
Jay S. Stanley
Guy Wolf
Smita Krishnaswamy
63
32
0
14 Feb 2018
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