Optimal parametric density estimation by minimizing an analytic distance measure.
Anne HanselmannOliver C. SchrempfUwe D. HanebeckPublished in: FUSION (2007)
Keyphrases
- distance measure
- density estimation
- mixture model
- euclidean distance
- similarity measure
- reproducing kernel hilbert space
- nonparametric density estimation
- probability density
- log likelihood
- density function
- mixture modeling
- multivariate gaussian distribution
- parzen window
- outlier detection
- density estimators
- distance function
- dynamic programming
- em algorithm
- kernel density estimation
- density estimates
- probability density function
- gaussian mixture model
- knowledge discovery
- probabilistic model
- high dimensional
- support vector