Low-rank approximation for multiscale PDEs.
Ke ChenShi ChenQin LiJianfeng LuStephen J. WrightPublished in: CoRR (2021)
Keyphrases
- low rank approximation
- multiscale
- partial differential equations
- singular value decomposition
- low rank matrix approximation
- image processing
- subspace learning
- low rank
- spectral clustering
- level set
- reconstruction error
- image segmentation
- iterative algorithms
- kernel matrix
- image denoising
- natural images
- image representation
- wavelet transform
- anisotropic diffusion
- adjacency matrix
- latent semantic indexing
- data dependent
- filter bank
- energy functional
- nonnegative matrix factorization
- wavelet coefficients
- superpixels
- pattern recognition
- matrix completion
- dimensionality reduction
- graph representation
- kernel methods
- multiresolution
- active contours