Support vector candidates selection via Delaunay graph and convex-hull for large and high-dimensional datasets.
Alexandre Reeberg de MelloMarcelo Ricardo StemmerFlávio Gabriel Oliveira BarbosaPublished in: Pattern Recognit. Lett. (2018)
Keyphrases
- convex hull
- high dimensional datasets
- support vector
- high dimensional
- high dimensional data
- outlier detection
- voronoi diagram
- point sets
- high dimensionality
- convex polyhedra
- data points
- feature selection
- mixed integer
- classification accuracy
- nearest neighbor
- concept drift
- high dimensional spaces
- extreme points
- computer vision
- feature space
- pattern recognition
- reinforcement learning
- image processing