Pattern classification of EEG signals using a log-linearized Gaussian mixture neural network.
Osamu FukudaToshio TsujiMakoto KanekoPublished in: ICNN (1995)
Keyphrases
- pattern classification
- gaussian mixture
- eeg signals
- neural network
- pattern recognition
- signal processing
- gaussian mixture model
- em algorithm
- closed form
- probability density function
- pattern classification problems
- covariance matrix
- expectation maximization
- feature extraction
- radial basis function neural network
- brain computer interface
- decision boundary
- density estimation
- mixture model
- probability density
- self organizing maps
- eeg data
- maximum likelihood
- parzen window
- language model
- knn
- high dimensional
- epileptic seizures