Supervised non-parametric discretization based on Kernel density estimation.
Jose Luis FloresBorja CalvoAritz PérezPublished in: Pattern Recognit. Lett. (2019)
Keyphrases
- kernel density estimation
- probability density function
- mean shift
- density function
- object segmentation
- supervised learning
- density estimation
- probability density
- higher dimensional
- learning algorithm
- unsupervised learning
- semi supervised
- image classification
- high dimensional
- object recognition
- bayesian networks
- feature selection