Deep Gaussian Mixture-Hidden Markov Model for Classification of EEG Signals.
Min WangSherif M. AbdelfattahNour MoustafaJiankun HuPublished in: IEEE Trans. Emerg. Top. Comput. Intell. (2018)
Keyphrases
- hidden markov models
- eeg signals
- gaussian mixture
- mixture distributions
- signal processing
- brain computer interface
- speech recognition
- brain activity
- extracted features
- linear discriminant classifier
- eeg data
- supervised learning
- pattern recognition
- closed form
- support vector machine
- image classification
- feature extraction
- unsupervised learning
- probability density function
- covariance matrix
- expectation maximization
- classification accuracy
- active learning
- feature space
- support vector