Universal Joint Feature Extraction for P300 EEG Classification Using Multi-Task Autoencoder.
Apiwat DitthapronNannapas BanluesombatkulSombat KetratEkapol ChuangsuwanichTheerawit WilaiprasitpornPublished in: IEEE Access (2019)
Keyphrases
- feature extraction
- multi task
- feature selection
- image classification
- eeg signals
- support vector machine svm
- multi task learning
- feature vectors
- learning tasks
- classification accuracy
- feature space
- dimension reduction
- support vector machine
- feature set
- support vector
- extracted features
- multitask learning
- classification models
- data sets
- sparse learning
- decision trees
- image processing
- svm classifier
- text categorization
- signal processing
- dimensionality reduction
- training set
- learning environment