Matrix Pencils with Coefficients that have Positive Semidefinite Hermitian Parts.
Christian MehlVolker MehrmannMichal WojtylakPublished in: SIAM J. Matrix Anal. Appl. (2022)
Keyphrases
- positive semidefinite
- linear combination
- semidefinite programming
- semidefinite
- similarity function
- singular values
- kernel matrix
- metric learning
- kernel function
- low rank
- kernel methods
- string kernels
- small number
- positive semidefinite matrices
- polynomial kernels
- similarity measure
- singular value decomposition
- support vector machine
- high dimensional
- ls svm
- wavelet packet
- sufficient conditions
- dynamic programming
- feature space
- support vector