Graph Laplacian and Neural Networks for Inverse Problems in Imaging: GraphLaNet.
Davide BianchiMarco DonatelliDavide EvangelistaWenbin LiElena Loli PiccolominiPublished in: SSVM (2023)
Keyphrases
- inverse problems
- graph laplacian
- neural network
- image reconstruction
- random walk
- global optimization
- spectral analysis
- convex optimization
- spectral clustering
- euclidean space
- weighted graph
- basis functions
- kernel machines
- optimization methods
- pattern recognition
- optimization problems
- semi supervised learning
- early vision
- image processing
- partial differential equations
- medical imaging
- pointwise
- high resolution
- image analysis
- smoothness constraint
- manifold structure
- labeled and unlabeled data
- neighborhood graph
- computer vision
- evolutionary algorithm