Feature extraction based on sparse representation with application to epileptic EEG classification.
Jing WangXiao Zhi GaoPing GuoPublished in: Int. J. Imaging Syst. Technol. (2013)
Keyphrases
- sparse representation
- feature extraction
- image classification
- dictionary learning
- eeg signals
- face recognition
- feature representation
- feature vectors
- sparse coding
- dimensionality reduction
- feature space
- signal processing
- eeg data
- support vector machine svm
- compressed sensing
- test images
- feature selection
- pattern recognition
- unsupervised learning
- machine learning
- joint optimization
- random projections
- support vector
- extracted features
- dimension reduction
- object recognition
- training set
- low dimensional
- blind source separation
- compressive sensing
- image processing
- model selection
- brain activity
- image representation
- regularized least squares
- sparsity constraints