Interval calculation of EM algorithm for GMM parameter estimation.
Hidenori WatanabeShogo MuramatsuHisakazu KikuchiPublished in: ISCAS (2010)
Keyphrases
- em algorithm
- parameter estimation
- gaussian mixture model
- expectation maximization
- maximum likelihood
- mixture model
- gaussian mixture
- maximum likelihood estimation
- generative model
- hyperparameters
- posterior distribution
- likelihood function
- parameter estimation algorithm
- approximate inference
- incomplete data
- expectation maximisation
- probability density function
- structure learning
- gibbs sampling
- gaussian distribution
- markov chain monte carlo
- image segmentation
- density estimation
- background subtraction
- probabilistic model
- mixture distribution
- log likelihood
- bayesian model selection
- machine learning
- parameter learning
- unsupervised learning
- higher order
- computer vision