Feature-adjacent multi-fidelity physics-informed machine learning for partial differential equations.
Wenqian ChenPanos StinisPublished in: CoRR (2023)
Keyphrases
- partial differential equations
- machine learning
- image denoising
- anisotropic diffusion
- numerical solution
- computer science
- level set
- image processing
- fourth order
- image enhancement
- differential equations
- multiscale
- boundary value problem
- problems in image processing
- numerical algorithms
- numerical methods
- conservation laws
- energy functional
- curve evolution
- finite difference
- numerical scheme
- finite difference method
- diffusion equation
- pattern recognition
- mathematical morphology
- nonlinear diffusion
- feature vectors
- image analysis
- difference equations
- wavelet coefficients
- denoising
- higher order