A Preconditioned Low-Rank Projection Method with a Rank-Reduction Scheme for Stochastic Partial Differential Equations.
Kookjin LeeHoward C. ElmanPublished in: SIAM J. Sci. Comput. (2017)
Keyphrases
- low rank
- partial differential equations
- projection method
- numerical scheme
- high order
- anisotropic diffusion
- missing data
- singular values
- low rank matrix
- image denoising
- level set
- linear combination
- convex optimization
- rank minimization
- singular value decomposition
- matrix completion
- matrix factorization
- multiscale
- matrix decomposition
- image processing
- low rank approximation
- image enhancement
- energy functional
- kernel matrix
- high dimensional data
- semi supervised
- trace norm
- data matrix
- multiresolution
- feature selection
- image segmentation
- curve evolution
- denoising
- principal component analysis
- computer vision
- higher order
- pattern recognition
- wavelet transform