Developing multi-component dictionary-based sparse representation for automatic detection of epileptic EEG spikes.
Yun JiangWanzhong ChenTao ZhangMingyang LiYang YouXiao ZhengPublished in: Biomed. Signal Process. Control. (2020)
Keyphrases
- automatic detection
- sparse representation
- multi component
- eeg signals
- signal processing
- dictionary learning
- eeg data
- sparse coding
- brain activity
- image classification
- automatically detecting
- face recognition
- compressed sensing
- image patches
- compressive sensing
- joint optimization
- sparse reconstruction
- high dimensional data
- object tracking
- regularized least squares
- random projections
- non stationary
- image representation
- negative matrix factorization
- blind source separation
- piecewise smooth
- epileptic seizures
- sparse approximations
- dimensionality reduction
- independent component analysis
- test images
- object recognition
- sparse learning
- neural network
- brain computer interface
- natural images
- input image
- nearest neighbor
- sparsity constraints
- computer vision
- data sets