When is a matrix unitary or Hermitian plus low rank?
Gianna M. Del CorsoFederico PoloniLeonardo RobolRaf VandebrilPublished in: Numer. Linear Algebra Appl. (2019)
Keyphrases
- low rank
- singular values
- singular value decomposition
- missing data
- matrix decomposition
- matrix factorization
- linear combination
- low rank matrix
- convex optimization
- rank minimization
- semi supervised
- trace norm
- matrix completion
- high dimensional data
- data matrix
- nuclear norm
- high order
- frobenius norm
- kernel matrix
- low rank and sparse
- factorization methods
- low rank approximation
- low rank matrices
- kernel matrices
- eigendecomposition
- data sets
- tensor decomposition
- positive semidefinite
- minimization problems
- affinity matrix