Stein Variational Gradient Descent for Non-Bayesian Particle Flow.
Kyle J. CraftKyle J. DeMarsPublished in: FUSION (2023)
Keyphrases
- evolution equation
- flow rate
- bayesian networks
- loss function
- maximum likelihood
- fluid dynamics
- flow patterns
- objective function
- cost function
- posterior distribution
- optical flow
- image segmentation
- flow field
- bayesian inference
- dirichlet process mixture models
- error function
- bayesian methods
- posterior probability
- level set
- curve evolution
- variational methods
- input parameters
- variational framework
- mumford shah functional
- gaussian processes
- data driven
- methods in computer vision