Bounds for the rank and eigenvalues of a matrix.
Alan J. HoffmanPublished in: IFIP Congress (1) (1968)
Keyphrases
- singular values
- eigenvalues and eigenvectors
- singular value decomposition
- covariance matrix
- correlation matrix
- nuclear norm minimization
- lower bound
- upper bound
- symmetric matrices
- rank order
- vc dimension
- least squares
- worst case
- low rank
- lower and upper bounds
- gram matrix
- matrix completion
- positive definite
- linear algebra
- similarity matrix
- average case
- learning algorithm
- principal component analysis
- support vector machine
- face recognition