MAE: Mutual Posterior-Divergence Regularization for Variational AutoEncoders.
Xuezhe MaChunting ZhouEduard H. HovyPublished in: CoRR (2019)
Keyphrases
- denoising
- total variation regularization
- variational formulation
- variational framework
- total variation
- basis pursuit
- image denoising
- level set
- posterior distribution
- image segmentation
- bayesian framework
- information geometry
- restricted boltzmann machine
- probabilistic model
- smoothness term
- parameter selection
- image processing
- probability distribution
- regularization term
- prior information
- image restoration
- kullback leibler
- regularization method
- neural network
- free energy
- handwritten digits
- energy functional
- noise reduction
- correlation coefficient
- posterior probability
- unsupervised learning