Motor imagery classification using sparse nonnegative matrix factorization and convolutional neural networks.
Poonam ChaudharyYash Vardhan VarshneyGautam SrivastavaSurbhi BhatiaPublished in: Neural Comput. Appl. (2024)
Keyphrases
- motor imagery
- nonnegative matrix factorization
- eeg signals
- convolutional neural networks
- matrix factorization
- negative matrix factorization
- sparsity constraints
- classification accuracy
- machine learning
- image classification
- data representation
- sparse representation
- text classification
- pattern recognition
- feature space
- least squares
- training data
- support vector
- feature vectors
- high dimensional
- brain computer interface
- feature selection
- collaborative filtering
- feature extraction
- blind source separation
- recommender systems
- non stationary
- document collections
- support vector machine
- principal component analysis