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Approximate Joint Diagonalization and Geometric Mean of Symmetric Positive Definite Matrices

Approximate Joint Diagonalization and Geometric Mean of Symmetric Positive Definite Matrices

M. Congedo
B. Afsari
A. Barachant
Maher Moakher
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Papers citing "Approximate Joint Diagonalization and Geometric Mean of Symmetric Positive Definite Matrices"

4 / 4 papers shown
Title
mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds
mSPD-NN: A Geometrically Aware Neural Framework for Biomarker Discovery from Functional Connectomics Manifolds
N. S. D'Souza
A. Venkataraman
19
3
0
27 Mar 2023
Assignment Flow for Order-Constrained OCT Segmentation
Assignment Flow for Order-Constrained OCT Segmentation
Dmitrij Sitenko
Bastian Boll
Christoph Schnörr
43
7
0
10 Sep 2020
Gaussian distributions on Riemannian symmetric spaces: statistical learning with structured covariance matrices
Gaussian distributions on Riemannian symmetric spaces: statistical learning with structured covariance matrices
Salem Said
H. Hajri
Lionel Bombrun
B. Vemuri
56
59
0
23 Jul 2016
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds
Riemannian SVRG: Fast Stochastic Optimization on Riemannian Manifolds
Hongyi Zhang
Sashank J. Reddi
S. Sra
117
241
0
23 May 2016