Generic Change of the Partial Multiplicities of Regular Matrix Pencils under Low-Rank Perturbations.
Fernando de TeránFroilán M. DopicoPublished in: SIAM J. Matrix Anal. Appl. (2016)
Keyphrases
- low rank
- linear combination
- convex optimization
- low rank matrix
- singular value decomposition
- matrix decomposition
- missing data
- matrix completion
- matrix factorization
- rank minimization
- kernel matrix
- high dimensional data
- semi supervised
- trace norm
- singular values
- data matrix
- robust principal component analysis
- high order
- factorization methods
- frobenius norm
- low rank matrices
- low rank and sparse
- minimization problems
- small number
- nuclear norm
- eigendecomposition
- low rank approximation
- kernel matrices
- least squares
- machine learning
- convex relaxation
- reconstruction error
- feature space