Clustering with Total Variation Graph Neural Networks.
Jonas Berg HansenFilippo Maria BianchiPublished in: CoRR (2022)
Keyphrases
- total variation
- image restoration
- image denoising
- denoising
- convex optimization
- regularization methods
- image deblurring
- blind deconvolution
- minimization problems
- clustering algorithm
- multiplicative noise removal
- image processing
- total variation regularization
- total variation minimization
- regularization term
- augmented lagrangian
- k means
- color image restoration
- weighted graph
- dual formulation
- fidelity term
- operator splitting
- computer vision
- split bregman method
- markov random field
- higher order
- mumford shah
- diffusion process
- augmented lagrangian method
- edge preserving
- low rank
- spectral clustering