Brain fMRI processing and classification based on combination of PCA and SVM.
Songyun XieRong GuoNingfei LiGe WangHaitao ZhaoPublished in: IJCNN (2009)
Keyphrases
- support vector machine svm
- svm classifier
- support vector machine
- support vector
- functional magnetic resonance imaging
- classification algorithm
- human brain
- classification method
- feature space
- feature extraction
- principal component analysis
- feature selection
- feature vectors
- svm classification
- generalization ability
- normal controls
- improves the classification accuracy
- principal components analysis
- feature reduction
- brain activity
- eeg signals
- activation detection
- dimension reduction methods
- dimension reduction
- pattern recognition
- machine learning
- classification accuracy
- principle component analysis
- decision trees
- linear discriminant analysis
- multi class
- multi class classification
- brain images
- text classification
- information processing
- fold cross validation
- image classification
- brain imaging
- training samples
- brain activation
- knn
- cognitive states
- high dimensional
- face recognition
- brain mapping
- fuzzy support vector machine
- kernel methods