Identification of EEG features in stroke patients based on common spatial pattern and sparse representation classification.
Xuefeng LeiLuyun WangWanzeng KongYong PengSanqing HuHong ZengGuojun DaiRuoyu JinJunfeng SunShanbao TongPublished in: NER (2017)
Keyphrases
- sparse representation
- dictionary learning
- eeg signals
- image classification
- feature vectors
- spatial patterns
- feature extraction
- feature analysis
- feature set
- sparse coding
- svm classifier
- feature space
- face recognition
- basis vectors
- signal processing
- image patches
- machine learning
- image processing
- dimensionality reduction
- image features
- support vector machine
- high dimensional data
- single trial
- compressed sensing
- compressive sensing
- pattern recognition
- test images
- data sets
- image representation
- decision trees
- low dimensional
- sparse codes
- dimension reduction
- three dimensional
- negative matrix factorization
- random projections
- high dimensionality
- sparse reconstruction