A review of kernels on covariance matrices for BCI applications.
Florian YgerPublished in: MLSP (2013)
Keyphrases
- covariance matrices
- covariance matrix
- maximum likelihood
- brain computer interface
- gaussian distribution
- vector space
- positive definite
- distance measure
- gaussian mixture model
- riemannian manifolds
- valued data
- signal processing
- gaussian mixture
- matrix valued
- kernel function
- multivariate normal
- feature vectors
- linear classifiers
- kernel methods
- riemannian metric
- feature space
- image processing
- multi class
- lie group