From Gaussian kernel density estimation to kernel methods.
Shitong WangZhaohong DengFu-Lai ChungWenjun HuPublished in: Int. J. Mach. Learn. Cybern. (2013)
Keyphrases
- kernel methods
- kernel density estimation
- density function
- mean shift
- probability density
- probability density function
- density estimation
- support vector
- support vector machine
- feature space
- kernel function
- machine learning
- gaussian mixture model
- reproducing kernel hilbert space
- object segmentation
- gaussian mixture
- mixture model
- maximum likelihood
- higher dimensional
- outlier detection
- object detection
- feature selection