Inducing Contextual Classifications With Kernel Functions Into Support Vector Machines.
Rogério Galante NegriErivaldo Antonio da SilvaWallace CasacaPublished in: IEEE Geosci. Remote. Sens. Lett. (2018)
Keyphrases
- kernel function
- support vector
- large margin classifiers
- learning machines
- kernel methods
- support vectors
- input space
- feature space
- support vector machine
- svm classifier
- cross validation
- feature maps
- support vector regression
- hyperplane
- high dimensional feature space
- gaussian kernels
- rbf kernel
- kernel learning
- svm classification
- reproducing kernel hilbert space
- feature selection
- high dimensional
- kernel matrix
- binary classification
- loss function
- kernel machines
- training examples
- classification accuracy
- polynomial kernels
- multiple kernel learning
- maximum margin
- kernel parameters
- image processing
- data sets