Estimation of Probability Density Functions for Parameter Sensitivity Analyses.
Tim KrögerInga AltroggeOlaf KonradRobert M. KirbyTobias PreusserPublished in: SimVis (2008)
Keyphrases
- probability density function
- parzen window
- density estimation
- probability density
- kernel density estimation
- density function
- probability distribution
- statistical methods
- mixture model
- posterior probability
- bayesian framework
- class conditional
- gaussian mixture
- kullback leibler divergence
- em algorithm
- gaussian mixture model
- expectation maximization
- pattern classification
- higher order statistics
- bayesian formulation
- probability distribution functions
- parameter estimation
- maximum entropy
- distance function
- generalized gaussian
- high dimensional
- statistical analysis
- unsupervised learning
- active learning
- prior knowledge
- feature extraction
- uncertain objects
- face recognition