Matrix pencils with coefficients that have positive semidefinite Hermitian part.
Christian MehlVolker MehrmannMichal WojtylakPublished in: CoRR (2021)
Keyphrases
- positive semidefinite
- linear combination
- semidefinite programming
- singular values
- semidefinite
- kernel matrix
- low rank
- similarity function
- kernel methods
- metric learning
- kernel function
- singular value decomposition
- small number
- positive semidefinite matrices
- polynomial kernels
- string kernels
- feature extraction
- machine learning
- maximum margin
- training samples
- linear programming
- feature vectors