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Spectral Flow on the Manifold of SPD Matrices for Multimodal Data
  Processing
v1v2 (latest)

Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing

17 September 2020
Ori Katz
Roy R. Lederman
Ronen Talmon
ArXiv (abs)PDFHTML

Papers citing "Spectral Flow on the Manifold of SPD Matrices for Multimodal Data Processing"

4 / 4 papers shown
Title
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
Tree-Wasserstein Distance for High Dimensional Data with a Latent Feature Hierarchy
Ya-Wei Eileen Lin
Ronald R. Coifman
Zhengchao Wan
Ronen Talmon
197
3
0
28 Oct 2024
On Learning what to Learn: heterogeneous observations of dynamics and
  establishing (possibly causal) relations among them
On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them
David W. Sroczynski
Felix Dietrich
E. D. Koronaki
Ronen Talmon
Ronald R. Coifman
Erik Bollt
Ioannis G. Kevrekidis
54
1
0
10 Jun 2024
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned
  Datasets
Log-Euclidean Signatures for Intrinsic Distances Between Unaligned Datasets
Tal Shnitzer
Mikhail Yurochkin
Kristjan Greenewald
Justin Solomon
97
6
0
03 Feb 2022
Spatiotemporal Analysis Using Riemannian Composition of Diffusion
  Operators
Spatiotemporal Analysis Using Riemannian Composition of Diffusion Operators
Tal Shnitzer
Hau‐Tieng Wu
Ronen Talmon
44
10
0
21 Jan 2022
1