HASeparator: Hyperplane-Assisted Softmax.
Ioannis KansizoglouNicholas SantavasLoukas BampisAntonios GasteratosPublished in: CoRR (2020)
Keyphrases
- hyperplane
- support vector
- data points
- maximal margin
- support vector machine
- training samples
- input space
- feature space
- linear classifiers
- classification procedure
- convex hull
- incremental learning algorithm
- principal components
- kernel function
- locality sensitive
- svm classifier
- linear separability
- high dimensional
- kernel space
- principal direction
- data sets
- linearly independent
- weight vector
- real valued
- active learning
- reinforcement learning
- average distance
- support vectors
- input image
- feature selection
- neural network