Brain lesion classification using 3T MRS spectra and paired SVM kernels.
Ioannis N. DimouIoannis TsougosEvaggelia E. TsolakiEvanthia KousiEftychia E. KapsalakiKyriaki TheodorouMichail G. KounelakisMichalis E. ZervakisPublished in: Biomed. Signal Process. Control. (2011)
Keyphrases
- support vector
- support vector machine svm
- svm classification
- support vector machine
- feature space
- kernel function
- classification method
- classification algorithm
- svm classifier
- classification accuracy
- magnetic resonance spectroscopy
- feature selection
- generalization ability
- multiple kernel learning
- feature vectors
- kernel methods
- fuzzy support vector machine
- rbf kernel
- kernel parameters
- training set
- pattern recognition
- multi class classification
- standard svm
- machine learning
- histogram intersection kernel
- text classification
- image classification
- margin maximization
- knn
- feature extraction
- decision trees
- polynomial kernels
- tree kernels
- linear svm
- pattern classification
- fold cross validation
- text classifiers
- feature maps
- eeg signals
- feature set
- radial basis function
- learning algorithm
- brain tumours
- multi class
- principal component analysis
- improves the classification accuracy
- logistic regression
- hyperplane
- hyperspectral
- support vectors
- hyperspectral images
- kernel machines
- brain tumors