Bounds on the extreme eigenvalues of positive-definite Toeplitz matrices.
Amir DemboPublished in: IEEE Trans. Inf. Theory (1988)
Keyphrases
- positive definite
- positive definite matrices
- covariance matrix
- symmetric matrices
- correlation matrix
- kernel matrix
- covariance matrices
- kernel function
- upper bound
- least squares
- geometric structure
- lower bound
- sample size
- symmetric positive definite
- worst case
- diffusion tensor
- objective function
- reproducing kernel hilbert space
- semi parametric
- kernel methods
- kernel machines
- principal component analysis
- metric learning
- constrained optimization
- vc dimension
- sufficient conditions