Uncertainty quantification in non-rigid image registration via stochastic gradient Markov chain Monte Carlo.
Daniel GrzechMohammad Farid AzampourHuaqi QiuBen GlockerBernhard KainzLoïc Le FolgocPublished in: CoRR (2021)
Keyphrases
- stochastic gradient
- markov chain monte carlo
- generative model
- markov chain
- posterior distribution
- parameter estimation
- monte carlo
- posterior probability
- bayesian inference
- approximate inference
- particle filter
- machine learning
- importance sampling
- stochastic gradient descent
- particle filtering
- data association
- conditional random fields
- em algorithm
- moving objects