Lower bounds of the minimal eigenvalue of a Hermitian positive-definite matrix.
Weiwei SunPublished in: IEEE Trans. Inf. Theory (2000)
Keyphrases
- positive definite
- covariance matrix
- lower bound
- objective function
- upper bound
- kernel function
- fisher information
- principal component analysis
- sample size
- geometric structure
- kernel matrix
- vc dimension
- optimal solution
- kernel machines
- diffusion tensor
- worst case
- feature space
- sufficient conditions
- semi parametric
- symmetric positive definite
- regression model
- pairwise