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MultiView Diffusion Maps
v1v2v3v4v5v6v7 (latest)

MultiView Diffusion Maps

23 August 2015
Ofir Lindenbaum
A. Yeredor
Moshe Salhov
Amir Averbuch
ArXiv (abs)PDFHTML

Papers citing "MultiView Diffusion Maps"

13 / 13 papers shown
Title
Graph Integration for Diffusion-Based Manifold Alignment
Graph Integration for Diffusion-Based Manifold Alignment
Jake S. Rhodes
Adam G. Rustad
DiffM
38
1
0
30 Oct 2024
Manifold Alignment with Label Information
Manifold Alignment with Label Information
Andres F. Duque
Myriam Lizotte
Guy Wolf
Kevin R. Moon
22
2
0
23 Oct 2022
Spatiotemporal Analysis Using Riemannian Composition of Diffusion
  Operators
Spatiotemporal Analysis Using Riemannian Composition of Diffusion Operators
Tal Shnitzer
Hau‐Tieng Wu
Ronen Talmon
41
10
0
21 Jan 2022
Cross-Modal and Multimodal Data Analysis Based on Functional Mapping of
  Spectral Descriptors and Manifold Regularization
Cross-Modal and Multimodal Data Analysis Based on Functional Mapping of Spectral Descriptors and Manifold Regularization
M. Behmanesh
Peyman Adibi
Jocelyn Chanussot
Sayyed Mohammad Saeed Ehsani
48
2
0
12 May 2021
Kernel-based parameter estimation of dynamical systems with unknown
  observation functions
Kernel-based parameter estimation of dynamical systems with unknown observation functions
Ofir Lindenbaum
A. Sagiv
Zhengchao Wan
Ronen Talmon
40
5
0
09 Sep 2020
Spectral Discovery of Jointly Smooth Features for Multimodal Data
Spectral Discovery of Jointly Smooth Features for Multimodal Data
Felix Dietrich
Or Yair
Rotem Mulayoff
Ronen Talmon
Ioannis G. Kevrekidis
99
8
0
09 Apr 2020
Visualizing the PHATE of Neural Networks
Visualizing the PHATE of Neural Networks
Scott A. Gigante
Adam S. Charles
Smita Krishnaswamy
Zhengchao Wan
76
38
0
07 Aug 2019
Optimal Recovery of Precision Matrix for Mahalanobis Distance from High
  Dimensional Noisy Observations in Manifold Learning
Optimal Recovery of Precision Matrix for Mahalanobis Distance from High Dimensional Noisy Observations in Manifold Learning
M. Gavish
Ronen Talmon
P. Su
Hau‐Tieng Wu
47
8
0
19 Apr 2019
Harmonic Alignment
Harmonic Alignment
Jay S. Stanley
Scott A. Gigante
Guy Wolf
Smita Krishnaswamy
DiffM
46
16
0
30 Sep 2018
Kernel Scaling for Manifold Learning and Classification
Kernel Scaling for Manifold Learning and Classification
Ofir Lindenbaum
Moshe Salhov
A. Yeredor
Amir Averbuch
47
8
0
04 Jul 2017
Multi-View Kernels for Low-Dimensional Modeling of Seismic Events
Multi-View Kernels for Low-Dimensional Modeling of Seismic Events
Ofir Lindenbaum
Y. Bregman
N. Rabin
Amir Averbuch
70
22
0
06 Jun 2017
Multimodal Latent Variable Analysis
Multimodal Latent Variable Analysis
Vardan Papyan
Ronen Talmon
27
3
0
25 Nov 2016
Latent common manifold learning with alternating diffusion: analysis and
  applications
Latent common manifold learning with alternating diffusion: analysis and applications
Ronen Talmon
Hau‐Tieng Wu
MedIm
74
44
0
30 Jan 2016
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