Motor Imagery Classification with Covariance Matrices and Non-Negative Matrix Factorization.
Dharmendra GurveDenis Delisle RodríguezTeodiano F. BastosSridhar KrishnanPublished in: EMBC (2019)
Keyphrases
- motor imagery
- negative matrix factorization
- covariance matrices
- covariance matrix
- blind source separation
- eeg signals
- maximum likelihood
- eeg data
- feature vectors
- brain computer interface
- matrix factorization
- machine learning
- principal component analysis
- image classification
- model selection
- text classification
- distance measure
- feature extraction
- vector space
- spectral clustering
- supervised learning
- active learning
- pattern recognition
- training samples
- sparse representation
- high dimensional
- feature selection
- information retrieval