Support Vector Machine and Bhattacharrya kernel function for region based classification.
Rogério Galante NegriLuciano Vieira DutraSidnei João Siqueira Sant'AnnaPublished in: IGARSS (2012)
Keyphrases
- support vector machine
- kernel function
- support vector
- svm classifier
- svm classification
- kernel methods
- support vector machine svm
- feature space
- decision boundary
- generalization ability
- feature vectors
- multi class
- kernel learning
- input space
- machine learning
- high dimensional feature space
- classification method
- polynomial kernels
- hyperplane
- positive definite
- feature selection
- support vectors
- kernel parameters
- training data
- kernel pca
- k nearest neighbor
- feature set
- kernel principal component analysis
- support vector regression
- radial basis function
- tree kernels
- binary classification
- classification accuracy
- kernel matrix
- kernel machines
- class labels
- training samples
- image classification
- supervised learning
- knn
- kernel matrices
- maximum margin
- reproducing kernel hilbert space
- cross validation
- gaussian kernel
- training set
- kernel based nonlinear