Extensible hyperplane nets.
Gottlieb PirsicFriedrich PillichshammerPublished in: Finite Fields Their Appl. (2011)
Keyphrases
- hyperplane
- training samples
- support vector
- feature space
- support vector machine
- principal components
- kernel function
- decision boundary
- data points
- linear classifiers
- input space
- classification procedure
- convex hull
- maximal margin
- locality sensitive
- support vectors
- linearly separable
- incremental learning algorithm
- linear separability
- svm classifier
- normal vectors
- weight vector
- kernel space
- feature vectors
- dimensionality reduction
- image classification
- neural network
- training examples