Classification of covariance matrices using a Riemannian-based kernel for BCI applications.
Alexandre BarachantStéphane BonnetMarco CongedoChristian JuttenPublished in: Neurocomputing (2013)
Keyphrases
- covariance matrices
- riemannian manifolds
- covariance matrix
- feature vectors
- support vector
- riemannian metric
- log euclidean
- feature space
- pattern recognition
- lie group
- maximum likelihood
- kernel methods
- support vector machine svm
- kernel function
- gaussian distribution
- brain computer interface
- support vector machine
- feature set
- supervised learning
- training set
- feature extraction
- feature selection
- svm classifier
- knn
- bayesian networks