Keyphrases
- pattern classification
- feature extraction
- support vector machine svm
- principal component analysis
- hidden markov models
- decision boundary
- linear dimensionality reduction
- maximum margin
- dimension reduction methods
- radial basis function neural network
- svm classifier
- support vector
- principal components analysis
- support vector machine
- feature vectors
- feature space
- pattern recognition
- kernel pca
- feature selection
- nearest neighbor rule
- dimensionality reduction
- linear discriminant analysis
- dimension reduction
- eeg signals
- classification algorithm
- principal components
- knn
- kernel function
- brain computer interface
- pattern classification problems
- discriminant analysis
- kernel principal component analysis
- face images
- independent component analysis
- image classification
- training set
- face recognition
- speech recognition
- machine learning
- extracted features
- generalization ability
- radial basis function
- signal processing
- active learning
- neural network
- hyperplane
- dimensionality reduction methods
- kernel methods
- covariance matrix
- parzen window
- low dimensional