Prediction of ADHD from a Small Dataset Using an Adaptive EEG Theta/Beta Ratio and PCA Feature Extraction.
Takumi SaseMarini OthmanPublished in: SCDM (2022)
Keyphrases
- feature extraction
- principal component analysis
- face recognition
- feature set
- principle component analysis
- dimensionality reduction
- prediction accuracy
- preprocessing
- image classification
- linear discriminant analysis
- discriminant analysis
- feature space
- pattern classification
- small number
- frequency domain
- dimension reduction
- prediction model
- orl face
- signal processing
- face images
- wavelet transform
- discriminant projection
- pattern recognition
- image processing
- low dimensional
- worst case
- independent component analysis
- principal components analysis
- prediction error
- feature representation
- kernel principal component analysis
- prediction algorithm
- feature selection
- extracted features
- principal components
- feature vectors
- texture analysis
- support vector machine svm
- high dimensional
- neural network