Skip to main navigation
Skip to search
Skip to main content
University of Copenhagen Research Portal Home
Help & FAQ
Dansk
English
Home
Profiles
Research output
Research units
Press/Media
Activities
Prizes
???studenttheses???
Datasets
Search by expertise, name or affiliation
A Geometric Framework for Stochastic Shape Analysis
Alexis Arnaudon
*
, Darryl D. Holm,
Stefan Sommer
*
Corresponding author for this work
5
Citations (Scopus)
40
Downloads (Pure)
Overview
Fingerprint
Fingerprint
Dive into the research topics of 'A Geometric Framework for Stochastic Shape Analysis'. Together they form a unique fingerprint.
Sort by
Weight
Alphabetically
Keyphrases
Data Likelihood
50%
Deformation Velocity
50%
Diffeomorphism
50%
Discrete-time
50%
Expectation Maximization
50%
Finite-dimensional
50%
FokkerPlanck Equation
100%
Geometric Framework
100%
Image Registration
50%
Landmark Configuration
50%
Large Deformation Diffeomorphic Metric Mapping (LDDMM)
50%
Mapping Framework
50%
Model Errors
50%
Model Uncertainty
50%
Monte Carlo
50%
Numerical Simulation
50%
Sampling Scheme
50%
Shape Analysis
50%
Spatial Correlation Length
50%
Stochastic Model
100%
Stochasticity
100%
Vector Field
50%
Mathematics
correlation length ξ
33%
Diffeomorphism
33%
Discrete Time
33%
File Format
33%
Manifold
33%
Monte Carlo
33%
Sampling Scheme
33%
Spatial Correlation
33%
Stochastic Model
66%
Stochastics
100%
time point η
33%
Vector Field
33%