A Bayesian model for local smoothing in kernel density estimation.
Mark J. BrewerPublished in: Stat. Comput. (2000)
Keyphrases
- bayesian model
- kernel density estimation
- probability density function
- bayesian framework
- mean shift
- density estimation
- density function
- bayesian inference
- conditional probabilities
- object segmentation
- probability density
- posterior distribution
- higher dimensional
- computer vision
- prior knowledge
- multi task learning
- machine learning algorithms
- feature space
- similarity measure