Feature-adjacent multi-fidelity physics-informed machine learning for partial differential equations.
Wenqian ChenPanos StinisPublished in: J. Comput. Phys. (2024)
Keyphrases
- partial differential equations
- machine learning
- anisotropic diffusion
- image denoising
- level set
- numerical solution
- image processing
- numerical algorithms
- image enhancement
- computer science
- problems in image processing
- multiscale
- fourth order
- diffusion equation
- numerical methods
- finite difference method
- finite difference
- mathematical morphology
- differential equations
- curve evolution
- conservation laws
- feature selection
- energy functional
- high order
- feature vectors
- pattern recognition
- noise removal
- nonlinear diffusion
- numerical scheme
- image features
- multiresolution
- visual quality
- higher order
- ambrosio tortorelli
- nonlinear partial differential equations