M-Estimation-Based Subspace Learning for Brain Computer Interfaces.
Berkan KadiogluIlkay YildizPau ClosasDeniz ErdogmusPublished in: IEEE J. Sel. Top. Signal Process. (2018)
Keyphrases
- subspace learning
- brain computer interface
- dimensionality reduction
- data representation
- manifold learning
- motor imagery
- sparse representation
- low dimensional
- signal processing
- learning algorithm
- face recognition
- semi supervised
- brain signals
- sparse coding
- spinal cord injury
- high dimensional data
- eeg signals
- principal component analysis
- pattern recognition
- eeg data
- evoked potentials
- data sets
- model selection
- text classification
- similarity measure
- feature selection
- motor learning
- machine learning
- subspace learning algorithm
- neural network