Low-Rank Perturbation of Regular Matrix Pencils with Symmetry Structures.
Fernando de TeránChristian MehlVolker MehrmannPublished in: Found. Comput. Math. (2022)
Keyphrases
- low rank
- convex optimization
- low rank matrix
- linear combination
- missing data
- singular value decomposition
- matrix factorization
- matrix completion
- matrix decomposition
- trace norm
- rank minimization
- kernel matrix
- affinity matrix
- semi supervised
- factorization methods
- singular values
- frobenius norm
- high dimensional data
- low rank matrices
- high order
- data matrix
- minimization problems
- robust principal component analysis
- low rank approximation
- nuclear norm
- low rank and sparse
- kernel matrices
- eigendecomposition
- learning algorithm
- active learning
- positive semidefinite
- principal component analysis