Common spatial pattern and linear discriminant analysis for motor imagery classification.
Shang-Lin WuChun-Wei WuNikhil R. PalChih-Yu ChenShi-An ChenPublished in: CCMB (2013)
Keyphrases
- linear discriminant analysis
- motor imagery
- support vector machine svm
- feature extraction
- small sample size
- discriminant analysis
- dimension reduction
- discriminant features
- feature space
- support vector
- fisher criterion
- face recognition
- spatial patterns
- discriminative information
- class discrimination
- principal component analysis
- class separability
- dimensionality reduction
- subspace analysis
- classification accuracy
- eeg signals
- brain computer interface
- high dimensionality
- spatio temporal
- pattern recognition
- machine learning
- svm classifier
- pattern classification
- high dimensional data
- support vector machine
- image classification
- eeg data
- null space
- feature set
- computer vision
- data sets
- data streams
- decision trees
- feature selection
- supervised dimensionality reduction
- qr decomposition