Adaboost with SVM-Based Classifier for the Classification of Brain Motor Imagery Tasks.
Jue WangLin GaoHaoshi ZhangJin XuPublished in: HCI (6) (2011)
Keyphrases
- support vector
- motor imagery
- eeg signals
- support vector machine
- svm classifier
- eeg data
- decision trees
- support vector machine svm
- feature selection
- multiclass classification
- brain computer interface
- classification algorithm
- classification method
- feature space
- classification accuracy
- classifier ensemble
- training data
- class labels
- majority voting
- weak learners
- learning algorithm
- ensemble classifier
- training set
- binary classification problems
- feature vectors
- binary classifiers
- brain activity
- adaboost algorithm
- machine learning
- human brain
- image classification
- feature set
- weak classifiers
- signal processing
- object detection
- pattern recognition
- neural network
- boosted classifiers
- extracted features
- training process
- pattern classification
- brain tumors
- image processing