Partial differential equation regularization for supervised machine learning.
Adam M. ObermanPublished in: CoRR (2019)
Keyphrases
- supervised machine learning
- partial differential equations
- regularization method
- numerical scheme
- inverse problems
- level set
- energy functional
- image denoising
- anisotropic diffusion
- image processing
- manually annotated
- numerical solution
- variational formulation
- multiscale
- image enhancement
- fourth order
- regularization term
- finite difference
- supervised learning
- active learning
- numerical algorithms
- numerical methods
- finite difference method
- differential equations
- problems in image processing
- diffusion equation
- ordinary differential equations
- variational framework
- high order
- active contours
- denoising
- multiresolution
- image analysis
- high quality
- feature selection
- hamilton jacobi
- machine learning