Approximation-based Common Principal Component for feature extraction in multi-class Brain-Computer Interfaces.
Tuan HoangDat TranXu HuangPublished in: EMBC (2013)
Keyphrases
- multi class
- principal components
- brain computer interface
- principal component analysis
- feature extraction
- dimensionality reduction
- feature set
- feature selection
- support vector machine
- eeg signals
- linear classifiers
- dimension reduction
- linear discriminant analysis
- signal processing
- pairwise
- binary classification
- pattern recognition
- principal component regression
- brain signals
- feature space
- pattern classification
- discriminant analysis
- evoked potentials
- multi class classification
- multiple instance learning
- eeg data
- cost sensitive
- independent component analysis
- object detection
- image classification
- face recognition
- low dimensional
- multi class classifier
- feature vectors
- spinal cord injury
- binary classifiers
- multiple classes
- covariance matrix
- multi class boosting
- image processing
- multi class svm
- extracted features
- machine learning
- multi task