Combinatorial Depth Measures for Hyperplane Arrangements.
Patrick SchniderPablo SoberónPublished in: SoCG (2023)
Keyphrases
- hyperplane
- support vector
- data points
- training samples
- linear classifiers
- input space
- feature space
- incremental learning algorithm
- principal components
- kernel function
- maximal margin
- convex hull
- support vector machine
- linearly separable
- normal vectors
- svm classifier
- classification procedure
- weight vector
- support vectors
- pattern recognition
- average distance
- kernel space
- data mining
- image sequences
- high quality
- data analysis
- locality sensitive
- computer vision