Fast and scalable polynomial kernels via explicit feature maps.
Ninh PhamRasmus PaghPublished in: KDD (2013)
Keyphrases
- feature maps
- polynomial kernels
- kernel function
- feature space
- support vector machine
- support vector
- gaussian kernels
- input space
- high dimensional
- self organizing maps
- high dimensional feature space
- reproducing kernel hilbert space
- neural network
- saliency map
- hyperplane
- multiple kernel learning
- feature vectors
- feature set
- similarity measure
- unsupervised learning
- data sets
- linearly separable
- pairwise