-Grid Cut by a Hyperplane (Extended Abstract).
Scott A. MitchellStephen A. VavasisPublished in: SCG (1996)
Keyphrases
- extended abstract
- hyperplane
- support vector
- data points
- support vector machine
- feature space
- training samples
- linear classifiers
- input space
- kernel function
- maximal margin
- svm classifier
- classification procedure
- locality sensitive
- linearly separable
- normal vectors
- support vectors
- weight vector
- average distance
- machine learning
- principal components
- pairwise
- convex hull
- kernel space
- high dimensional
- feature selection
- computer vision
- incremental learning algorithm
- principal direction
- data sets
- linear separability