ICA-based positive semidefinite matrix templates for eye-blink artifact removal from EEG signal with single-electrode.
Suguru KanogaYasue MitsukuraPublished in: ASCC (2015)
Keyphrases
- positive semidefinite
- semidefinite programming
- eeg signals
- kernel matrix
- metric learning
- kernel methods
- semidefinite
- similarity function
- linear combination
- kernel function
- independent component analysis
- positive semidefinite matrices
- signal processing
- low rank
- string kernels
- machine learning
- eye movements
- linear programming
- face recognition
- computer vision
- neural network
- singular value decomposition
- support vector machine
- feature space
- support vector
- feature extraction