Expectation-Maximization for Adaptive Mixture Models in Graph Optimization.
Tim PfeiferPeter ProtzelPublished in: CoRR (2018)
Keyphrases
- mixture model
- expectation maximization
- em algorithm
- gaussian mixture model
- generative model
- probabilistic model
- maximum likelihood
- density estimation
- unsupervised learning
- finite mixture model
- parameter estimation
- finite mixtures
- model selection
- image segmentation
- gaussian mixture
- language model
- probability density function
- maximum a posteriori
- model based clustering
- k means
- mixture modeling
- finite mixture models
- machine learning
- similarity measure
- gaussian distribution
- weighted graph
- maximum likelihood estimation
- mixture of gaussians
- mixture components