Single-trial P300 Classification using PCA with LDA, QDA and Neural Networks.
Nand SharmaPublished in: CoRR (2017)
Keyphrases
- neural network
- principal component analysis
- feature extraction
- single trial
- pattern recognition
- linear discriminant analysis
- principle component analysis
- face recognition
- dimension reduction
- feature space
- spatial filters
- dimensionality reduction
- linear discriminate analysis
- discriminant analysis
- classification accuracy
- subspace analysis
- kernel principal component analysis
- active learning
- feature vectors
- pattern classification
- decision trees
- principal components
- machine learning
- computer vision
- subspace methods
- brain computer interface
- extracted features
- support vector
- event related
- high dimensional
- privacy preserving
- feature set
- feature selection
- face images
- facial expressions