Accurate Eigenvalues of Some Generalized Sign Regular Matrices via Relatively Robust Representations.
Rong HuangPublished in: J. Sci. Comput. (2020)
Keyphrases
- highly accurate
- computationally efficient
- symmetric matrices
- eigenvalues and eigenvectors
- singular value decomposition
- high accuracy
- covariance matrices
- symmetric matrix
- image noise
- singular values
- robust segmentation
- manually labeled training data
- data sets
- eigenvalue problems
- eigenvalue decomposition
- low rank matrix
- principal components
- covariance matrix
- higher level
- least squares
- high quality
- neural network