Riemannian classification of EEG signals with missing values.
Alexandre Hippert-FerrerAmmar MianFlorent BouchardFrédéric PascalPublished in: CoRR (2021)
Keyphrases
- eeg signals
- missing values
- missing data
- incomplete data
- signal processing
- data stream classification
- incomplete data sets
- brain computer interface
- data imputation
- motor imagery
- feature values
- multivariate temporal data
- eeg data
- high dimensional data
- classification accuracy
- extracted features
- missing data imputation
- linear discriminant classifier
- machine learning
- kernel density estimators
- unseen data
- model selection
- missing attribute values
- feature extraction
- training set
- support vector machine
- decision trees
- learning algorithm
- data analysis
- neural network
- low rank
- data sets