A two-layer paradigm capable of forming arbitrary decision regions in input space.
Vinay DeolalikarPublished in: IEEE Trans. Neural Networks (2002)
Keyphrases
- input space
- output space
- kernel function
- feature space
- dimensionality reduction
- input data
- hyperplane
- training set
- high dimensional
- data points
- low dimensional
- knn
- high dimensional data
- receptive fields
- high dimensional feature space
- k nearest neighbor
- decision makers
- input image
- class labels
- decision problems
- support vector machine
- pairwise
- support vector
- image processing
- linearly separable
- data sets
- feature extraction
- data mining