Two-Step Linear Discriminant Analysis for Classification of EEG Data.
Nguyen Hoang HuyStefan FrenzelChristoph BandtPublished in: GfKl (2012)
Keyphrases
- linear discriminant analysis
- eeg data
- support vector machine svm
- discriminant features
- feature extraction
- discriminant analysis
- support vector
- small sample size
- dimension reduction
- class separability
- fisher criterion
- principal component analysis
- discriminative information
- feature space
- dimensionality reduction
- class discrimination
- eeg signals
- null space
- independent component analysis
- high dimensional data
- subspace analysis
- support vector machine
- machine learning
- pattern recognition
- face recognition
- motor imagery
- classification accuracy
- svm classifier
- text classification
- brain computer interface
- high dimensional
- supervised dimensionality reduction
- high dimensionality
- single trial
- pattern classification
- image classification
- signal processing
- scatter matrix
- feature selection
- computer vision