Sample Size for Maximum Likelihood Estimates of Gaussian Model.
Josef V. PsutkaJosef PsutkaPublished in: CAIP (2) (2015)
Keyphrases
- sample size
- gaussian model
- maximum likelihood estimates
- expectation maximization
- em algorithm
- maximum likelihood
- mixture model
- gaussian distribution
- parameter estimation
- model selection
- gaussian mixture model
- closed form
- upper bound
- probabilistic model
- conditional independence
- random sampling
- motion parameters
- unsupervised learning
- image segmentation
- k means
- linear models
- generative model
- worst case
- probability density function
- hyperparameters
- maximum a posteriori
- data points
- bayesian framework
- point correspondences
- least squares