How Much Features in Brain-Computer Interface Are Discriminative?- Quantitative Measure by Relative Entropy.
Sangtae AhnSungwook KangSung Chan JunPublished in: HCI (23) (2011)
Keyphrases
- relative entropy
- brain computer interface
- feature extraction
- information theoretic
- information theory
- motor imagery
- log likelihood
- eeg signals
- mutual information
- signal processing
- feature set
- similarity measure
- neural network
- classification accuracy
- extracted features
- learning algorithm
- kullback leibler divergence
- distance measure
- mahalanobis distance
- bregman divergences
- high dimensional
- objective function
- feature selection
- machine learning