Mixed noise and posterior estimation with conditional deepGEM.
Paul HagemannJohannes HertrichMaren CasforSebastian HeidenreichGabriele SteidlPublished in: Mach. Learn. Sci. Technol. (2024)
Keyphrases
- random noise
- accurate estimation
- estimation error
- noisy data
- noisy environments
- estimation accuracy
- bayesian framework
- noise level
- estimation algorithm
- additive noise
- image noise
- signal subspace
- data sets
- noise sensitivity
- noise reduction
- missing data
- least squares
- probability distribution
- probabilistic model
- neural network