Efficient space learning based on kernel trick and dimension reduction technique for multichannel motor imagery EEG signals classification.
Youkabed AmiriHesam OmranpourPublished in: Neural Comput. Appl. (2024)
Keyphrases
- kernel trick
- kernel methods
- eeg signals
- motor imagery
- dimension reduction
- feature space
- kernel learning
- kernel function
- support vector
- support vector machine
- low dimensional
- machine learning
- high dimensionality
- unsupervised learning
- high dimensional
- brain computer interface
- feature extraction
- input space
- feature selection
- linear discriminant analysis
- eeg data
- supervised learning
- learning algorithm
- signal processing
- neural network
- structured output
- dimensionality reduction
- principal component analysis
- training set
- face recognition
- support vector machine svm
- discriminative learning
- input data
- healthy subjects
- least squares