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Diffusion Means in Geometric Spaces
v1v2 (latest)

Diffusion Means in Geometric Spaces

25 May 2021
B. Eltzner
Pernille Hansen
S. Huckemann
Stefan Sommer
ArXiv (abs)PDFHTML

Papers citing "Diffusion Means in Geometric Spaces"

12 / 12 papers shown
Title
Diffusion Means and Heat Kernel on Manifolds
Diffusion Means and Heat Kernel on Manifolds
Pernille Hansen
B. Eltzner
Stefan Sommer
OT
42
13
0
28 Feb 2021
Smeariness Begets Finite Sample Smeariness
Smeariness Begets Finite Sample Smeariness
Do Tran
B. Eltzner
S. Huckemann
28
6
0
28 Feb 2021
Strong Laws of Large Numbers for Generalizations of Fréchet Mean Sets
Strong Laws of Large Numbers for Generalizations of Fréchet Mean Sets
Christof Schötz
41
9
0
23 Dec 2020
The Stein Effect for Frechet Means
The Stein Effect for Frechet Means
A. Mccormack
P. Hoff
41
3
0
18 Sep 2020
An Empirical Bayes Approach to Shrinkage Estimation on the Manifold of
  Symmetric Positive-Definite Matrices
An Empirical Bayes Approach to Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices
Chun-Hao Yang
Hani Doss
B. Vemuri
46
4
0
04 Jul 2020
Curvature effects on the empirical mean in Riemannian and affine
  Manifolds: a non-asymptotic high concentration expansion in the small-sample
  regime
Curvature effects on the empirical mean in Riemannian and affine Manifolds: a non-asymptotic high concentration expansion in the small-sample regime
Xavier Pennec
56
22
0
18 Jun 2019
A Smeary Central Limit Theorem for Manifolds with Application to High
  Dimensional Spheres
A Smeary Central Limit Theorem for Manifolds with Application to High Dimensional Spheres
B. Eltzner
S. Huckemann
47
54
0
19 Jan 2018
Bridge Simulation and Metric Estimation on Landmark Manifolds
Bridge Simulation and Metric Estimation on Landmark Manifolds
Stefan Sommer
Alexis Arnaudon
Line Kühnel
S. Joshi
30
33
0
31 May 2017
Exact heat kernel on a hypersphere and its applications in kernel SVM
Exact heat kernel on a hypersphere and its applications in kernel SVM
Chenchao Zhao
Jun S. Song
49
17
0
05 Feb 2017
Backward Nested Descriptors Asymptotics with Inference on Stem Cell
  Differentiation
Backward Nested Descriptors Asymptotics with Inference on Stem Cell Differentiation
S. Huckemann
B. Eltzner
39
25
0
03 Sep 2016
Barycentric Subspace Analysis on Manifolds
Barycentric Subspace Analysis on Manifolds
Xavier Pennec
98
84
0
11 Jul 2016
Modelling Anisotropic Covariance using Stochastic Development and
  Sub-Riemannian Frame Bundle Geometry
Modelling Anisotropic Covariance using Stochastic Development and Sub-Riemannian Frame Bundle Geometry
Stefan Sommer
A. Svane
38
22
0
28 Dec 2015
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