Data-driven and low-rank implementations of Balanced Singular Perturbation Approximation.
Björn Liljegren-SailerIon Victor GoseaPublished in: CoRR (2023)
Keyphrases
- low rank
- data driven
- matrix decomposition
- frobenius norm
- linear combination
- convex optimization
- missing data
- low rank matrix
- low rank approximation
- matrix factorization
- semi supervised
- rank minimization
- matrix completion
- high dimensional data
- singular value decomposition
- kernel matrix
- eigendecomposition
- approximation methods
- high order
- data matrix
- minimization problems
- trace norm
- robust principal component analysis
- non rigid structure from motion
- low rank matrices
- singular values
- dimensionality reduction
- least squares
- small number
- data analysis
- image processing
- data sets