EM mixture model probability table compression.
Sung-Jung ChoMichael PerroneEugene H. RatzlaffPublished in: ICASSP (2) (2003)
Keyphrases
- mixture model
- expectation maximization
- em algorithm
- gaussian mixture model
- generative model
- probabilistic model
- density estimation
- unsupervised learning
- maximum likelihood
- model selection
- mixture modeling
- language model
- probability distribution
- mixture of gaussians
- gaussian mixture
- prior knowledge
- probability density function
- conditional probabilities
- object recognition
- machine learning
- finite mixture model
- model based clustering
- probabilistic mixture model
- maximum likelihood estimation
- gaussian distribution
- parameter estimation
- supervised learning
- decision trees