Classification of Alzheimer's Disease from EEG Signal Using Robust-PCA Feature Extraction.
Giorgio BiagettiPaolo CrippaLaura FalaschettiSimona LuzziClaudio TurchettiPublished in: KES (2021)
Keyphrases
- feature extraction
- eeg signals
- extracted features
- principal component analysis
- principle component analysis
- dimension reduction
- feature vectors
- pattern classification
- feature space
- fisher linear discriminant
- image classification
- support vector machine svm
- dimensionality reduction
- healthy subjects
- extracting features
- feature extraction and classification
- feature selection
- face recognition
- preprocessing
- pattern recognition
- kernel density estimators
- classification accuracy
- kernel principal component analysis
- linear discriminant analysis
- feature set
- discriminant analysis
- signal processing
- feature representation
- principal components analysis
- support vector machine
- face images
- multiresolution
- support vector
- rotational invariant
- image processing
- svm classifier
- texture features
- feature reduction
- decision trees