Hierarchical adaptive low-rank format with applications to discretized PDEs.
Stefano MasseiLeonardo RobolDaniel KressnerPublished in: CoRR (2021)
Keyphrases
- low rank
- matrix factorization
- missing data
- linear combination
- convex optimization
- matrix completion
- singular value decomposition
- low rank matrix
- rank minimization
- semi supervised
- high dimensional data
- partial differential equations
- high order
- trace norm
- matrix decomposition
- kernel matrix
- low rank matrices
- robust principal component analysis
- singular values
- higher order
- minimization problems
- machine learning
- high dimensional
- data analysis
- non rigid structure from motion
- low rank representation
- low rank and sparse
- neural network