Classification of multi-class motor imagery with a novel hierarchical SVM algorithm for brain-computer interfaces.
Enzeng DongChanghai LiLiting LiShengzhi DuAbdelkader Nasreddine BelkacemChao ChenPublished in: Medical Biol. Eng. Comput. (2017)
Keyphrases
- multi class
- multi class classification
- support vector machine svm
- multiclass classification
- support vector machine
- motor imagery
- classification algorithm
- brain computer interface
- multi class boosting
- multi class svm
- cost sensitive
- multiclass problems
- kernel logistic regression
- feature selection
- probabilistic boosting tree
- support vector
- multi class classifier
- svm classifier
- feature vectors
- learning algorithm
- multi class problems
- binary classification
- eeg signals
- k nearest neighbor
- pairwise
- feature extraction
- binary classifiers
- neural network
- eeg data
- spinal cord injury
- multiple classes
- extracted features
- base classifiers
- pattern classification
- kernel function
- naive bayes
- image classification
- semi supervised
- pattern recognition
- similarity measure
- decision trees