Characterizing a subset of the PPS maintaining the reference hyperplane of the radial projection point.
Nasim NasrabadiAkram DehnokhalajiMajid Soleimani-DamanehPublished in: J. Oper. Res. Soc. (2014)
Keyphrases
- hyperplane
- sample space
- normal vectors
- training samples
- support vector
- linear classifiers
- support vector machine
- data points
- feature space
- incremental learning algorithm
- classification procedure
- linearly separable
- principal components
- input space
- decision boundary
- maximal margin
- linear separability
- linearly independent
- convex hull
- average distance
- kernel space
- locality sensitive
- nearest point
- support vectors
- weight vector
- kernel function
- pattern recognition
- incremental learning
- image data
- high dimensional
- principal direction
- image processing
- data sets