EEG signal classification with super-Dirichlet mixture model.
Zhanyu MaZheng-Hua TanSwati PrasadPublished in: SSP (2012)
Keyphrases
- mixture model
- eeg signals
- em algorithm
- density estimation
- model selection
- gaussian mixture model
- unsupervised learning
- generative model
- probabilistic model
- expectation maximization
- language model
- kernel density estimators
- dirichlet distribution
- maximum likelihood
- pattern recognition
- decision trees
- classification accuracy
- mixture modeling
- support vector
- probability density function
- signal processing
- dirichlet prior
- computer vision
- extracted features
- brain computer interface
- supervised learning
- machine learning
- gaussian mixture
- object recognition
- feature vectors
- feature selection
- class labels
- information retrieval
- discriminative learning
- event related potentials