Scalable Bayesian uncertainty quantification with data-driven priors for radio interferometric imaging.
Tobías I. LiaudatMatthijs MarsMatthew A. PriceMarcelo PereyraMarta M. BetckeJason D. McEwenPublished in: CoRR (2023)
Keyphrases
- data driven
- synthetic aperture
- decision theory
- radar imaging
- imaging systems
- image processing
- image analysis
- maximum likelihood
- synthetic aperture sonar
- medical imaging
- bayesian framework
- computer vision
- dempster shafer
- prior distribution
- prior probabilities
- wireless communication
- high resolution
- prior knowledge
- high resolution images
- uncertain data
- radio frequency
- synthetic aperture radar
- gaussian processes
- belief nets
- image reconstruction
- bayesian models
- medical images
- wireless networks
- bayesian approaches
- sar imagery
- fourier transform
- imaging devices
- clinical applications
- conditional probabilities
- machine vision
- bayesian estimation