On the irreducibility of the hyperplane sections of Fermat varieties in ℙ 3 $\mathbb {P}^{3}$ in characteristic 2. II.
Eric FérardPublished in: Cryptogr. Commun. (2017)
Keyphrases
- hyperplane
- training samples
- data points
- input space
- support vector
- feature space
- linearly separable
- support vector machine
- linear classifiers
- principal components
- maximal margin
- decision boundary
- convex hull
- kernel function
- support vectors
- kernel space
- incremental learning algorithm
- locality sensitive
- average distance
- high dimensional data
- labeled data
- dimensionality reduction
- high dimensional
- image processing
- weight vector
- neural network
- classification procedure
- data sets