On applications of parameterized hyperplane partitioning.
Jakub LokocTomás SkopalPublished in: SISAP (2010)
Keyphrases
- hyperplane
- principal direction
- support vector
- training samples
- data points
- linear classifiers
- feature space
- principal components
- kernel function
- input space
- support vector machine
- locality sensitive
- linearly separable
- svm classifier
- incremental learning algorithm
- kernel space
- convex hull
- maximal margin
- support vectors
- classification procedure
- image classification
- learning algorithm
- linearly independent
- linear separability
- neural network
- weight vector
- k nearest neighbor
- machine learning