Drop "Noise" Edge: An Approximation of the Bayesian GNNs.
Xiaoling ZhouOu WuPublished in: ACPR (2) (2021)
Keyphrases
- missing data
- image edges
- noise level
- bayesian networks
- random noise
- edge detection
- maximum likelihood
- bayesian approaches
- monte carlo sampling
- error bounds
- image prior
- image noise
- increase in computational complexity
- noise free
- input data
- posterior probability
- closed form
- marginal likelihood
- signal to noise ratio
- edge detector
- noise reduction
- bayesian learning
- approximation algorithms
- additive noise
- edge information
- bayesian estimation
- edge points
- approximation error
- bayesian inference
- edge pixels
- expectation propagation
- smooth regions
- undirected graph
- image restoration
- step edges