The singular values and vectors of low rank perturbations of large rectangular random matrices.
Florent Benaych-GeorgesRaj Rao NadakuditiPublished in: J. Multivar. Anal. (2012)
Keyphrases
- least squares
- singular values
- low rank
- singular value decomposition
- matrix completion
- matrix decomposition
- low rank matrix
- data matrix
- kernel matrix
- linear combination
- missing data
- rank minimization
- matrix factorization
- convex optimization
- nuclear norm
- high dimensional data
- minimization problems
- semi supervised
- low rank approximation
- eigendecomposition
- affinity matrix
- low rank and sparse
- high order
- data sets