Data-Driven and Low-Rank Implementations of Balanced Singular Perturbation Approximation.
Björn Liljegren-SailerIon Victor GoseaPublished in: SIAM J. Sci. Comput. (2024)
Keyphrases
- low rank
- data driven
- matrix decomposition
- matrix factorization
- convex optimization
- missing data
- linear combination
- low rank matrix
- low rank approximation
- rank minimization
- frobenius norm
- kernel matrix
- semi supervised
- matrix completion
- singular value decomposition
- high dimensional data
- approximation methods
- eigendecomposition
- low rank matrices
- high order
- trace norm
- minimization problems
- low rank representation
- convex relaxation
- nearest neighbor
- recommender systems
- image sequences
- machine learning