Various Hyperplane Classifiers Using Kernel Feature Spaces.
Kornél KovácsAndrás KocsorPublished in: Acta Cybern. (2003)
Keyphrases
- hyperplane
- linear classifiers
- feature space
- support vector
- kernel function
- training samples
- kernel space
- decision boundary
- maximal margin
- separating hyperplane
- input space
- linear svm
- classification procedure
- svm classifier
- linear separability
- linearly separable
- gaussian kernels
- feature selection
- kernel matrix
- feature set
- kernel methods
- training set
- support vector machine
- classification accuracy
- high dimensional feature space
- data points
- high dimensional
- support vectors
- dimensionality reduction
- convex hull
- feature vectors
- perceptron algorithm
- principal component analysis
- training data
- decision trees
- multiple kernel learning
- principal components
- training examples
- input data
- reproducing kernel hilbert space
- video sequences
- nearest neighbor search
- multi class
- supervised learning
- computer vision
- machine learning