Efficient eigenvalue computation for quasiseparable Hermitian matrices under low rank perturbations.
Yuli EidelmanLuca GemignaniIsrael GohbergPublished in: Numer. Algorithms (2008)
Keyphrases
- low rank
- singular values
- matrix completion
- low rank matrix
- singular value decomposition
- eigendecomposition
- data matrix
- linear combination
- convex optimization
- missing data
- frobenius norm
- low rank matrices
- matrix decomposition
- semi supervised
- rank minimization
- low rank approximation
- matrix factorization
- kernel matrix
- binary matrices
- high dimensional data
- least squares
- low rank and sparse
- machine learning
- minimization problems
- covariance matrix
- image processing
- affinity matrix
- sparse matrix
- face recognition