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Spectral Discovery of Jointly Smooth Features for Multimodal Data
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Spectral Discovery of Jointly Smooth Features for Multimodal Data

Felix Dietrich
Or Yair
Rotem Mulayoff
Ronen Talmon
Ioannis G. Kevrekidis
ArXiv (abs)PDFHTML

Papers citing "Spectral Discovery of Jointly Smooth Features for Multimodal Data"

7 / 7 papers shown
Title
Scalability and robustness of spectral embedding: landmark diffusion is all you need
Scalability and robustness of spectral embedding: landmark diffusion is all you need
Chao Shen
Hau‐Tieng Wu
72
26
0
03 Jan 2020
Selecting the independent coordinates of manifolds with large aspect ratios
Selecting the independent coordinates of manifolds with large aspect ratios
Yu-Chia Chen
M. Meilă
33
15
0
02 Jul 2019
Local Canonical Correlation Analysis for Nonlinear Common Variables Discovery
Local Canonical Correlation Analysis for Nonlinear Common Variables Discovery
Or Yair
Ronen Talmon
41
17
0
14 Jun 2016
Nonparametric Canonical Correlation Analysis
Nonparametric Canonical Correlation Analysis
T. Michaeli
Weiran Wang
Karen Livescu
76
85
0
16 Nov 2015
MultiView Diffusion Maps
MultiView Diffusion Maps
Ofir Lindenbaum
A. Yeredor
Moshe Salhov
Amir Averbuch
23
44
0
23 Aug 2015
On the optimality of shape and data representation in the spectral domain
On the optimality of shape and data representation in the spectral domain
Y. Aflalo
H. Brezis
Ron Kimmel
46
85
0
15 Sep 2014
Multivariate analysis and Jacobi ensembles: largest eigenvalue, Tracy--Widom limits and rates of convergence
Multivariate analysis and Jacobi ensembles: largest eigenvalue, Tracy--Widom limits and rates of convergence
Iain M. Johnstone
142
185
0
23 Mar 2008

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