FBCSP-based Multi-class Motor Imagery Classification using BP and TDP features.
Waseem AbbasNadeem Ahmad KhanPublished in: EMBC (2018)
Keyphrases
- multi class
- motor imagery
- support vector machine
- multiclass classification
- eeg signals
- multi class classifier
- multi class classification
- multi class boosting
- binary and multi class
- cost sensitive
- feature vectors
- feature set
- binary classifiers
- multiple classes
- svm classifier
- classification accuracy
- binary classification problems
- feature space
- binary classification tasks
- feature selection
- multi class svms
- feature extraction
- multiclass problems
- single class
- extracted features
- multi class svm
- pairwise
- machine learning
- protein classification
- image classification
- object detection
- support vector
- binary classification
- support vector machine svm
- error correcting output codes
- probabilistic boosting tree
- data sets
- multi class object detection
- boosting algorithms
- brain computer interface
- pattern recognition
- decision trees
- multi class problems
- eeg data
- class imbalance
- feature subset
- pattern classification
- kernel logistic regression
- signal processing
- training set
- training data