A new semi-supervised algorithm combined with MCICA optimizing SVM for motion imagination EEG classification.
Xuemin TanChao GuoTao JiangKechang FuNan ZhouJianying YuanGuoliang ZhangPublished in: Intell. Data Anal. (2021)
Keyphrases
- support vector machine svm
- classification algorithm
- support vector machine
- classification method
- multi class classification
- preprocessing
- learning algorithm
- pattern recognition
- machine learning
- similarity measure
- detection algorithm
- feature selection
- objective function
- classification accuracy
- svm classification
- training process
- neural network
- optical flow
- k means
- support vector
- motion estimation
- multi class
- signal processing
- expectation maximization
- k nearest neighbor
- feature vectors
- training set
- feature space
- computational complexity
- generalization ability
- eeg signals
- optimal solution
- feature extraction