Parameter Estimation under Gaussian Model Uncertainties by Iterative Covariance Approximation.
Oliver LangMichael LunglmayrMario HuemerPublished in: CoRR (2016)
Keyphrases
- parameter estimation
- gaussian model
- expectation maximization
- maximum likelihood
- em algorithm
- gaussian distribution
- gaussian mixture model
- model selection
- statistical models
- mixture model
- markov random field
- least squares
- conditional independence
- skin color
- probabilistic model
- parameter estimation algorithm
- pairwise
- image intensity
- bayesian framework
- image segmentation
- probability density function
- directed acyclic graph
- face detection
- graph cuts