Bayesian electromagnetic spatio-temporal imaging of extended sources with Markov Random Field and temporal basis expansion.
Ke LiuZhu Liang YuWei WuZhenghui GuYuanqing LiSrikantan S. NagarajanPublished in: NeuroImage (2016)
Keyphrases
- markov random field
- spatio temporal
- spatial and temporal
- mrf model
- graph cuts
- belief propagation
- dirichlet process mixture
- energy minimization
- higher order
- parameter estimation
- energy function
- image segmentation
- random fields
- maximum a posteriori
- spatial continuity
- pairwise
- image restoration
- space time
- image processing
- posterior distribution
- conditional random fields
- mrf optimization
- image prior
- computer vision
- high resolution
- map estimation
- potential functions
- bayesian estimation
- prior model
- loopy belief propagation
- message passing
- image sequences
- maximum likelihood
- moving objects
- temporal segmentation
- markov random field model
- maximum entropy
- neighboring pixels
- multiscale
- bayesian inference
- bayesian networks
- prior knowledge
- machine learning