On the eigenvalues of specially low-rank perturbed matrices.
Yunkai ZhouPublished in: Appl. Math. Comput. (2011)
Keyphrases
- low rank
- singular value decomposition
- eigendecomposition
- singular values
- matrix completion
- low rank matrix
- kernel matrix
- data matrix
- linear combination
- convex optimization
- frobenius norm
- matrix decomposition
- matrix factorization
- low rank approximation
- missing data
- low rank and sparse
- low rank matrices
- positive definite
- positive semidefinite
- rank minimization
- semi supervised
- high order
- least squares
- principal component analysis
- minimization problems
- dimensionality reduction
- affinity matrix
- trace norm
- high dimensional data
- measurement matrix
- semidefinite programming
- robust principal component analysis
- tensor decomposition
- covariance matrix
- nearest neighbor