Expectation-Maximization for Adaptive Mixture Models in Graph Optimization.
Tim PfeiferPeter ProtzelPublished in: ICRA (2019)
Keyphrases
- mixture model
- expectation maximization
- em algorithm
- gaussian mixture model
- generative model
- probabilistic model
- density estimation
- maximum likelihood
- finite mixtures
- unsupervised learning
- finite mixture model
- parameter estimation
- model selection
- gaussian mixture
- maximum likelihood estimation
- image segmentation
- bayesian framework
- probability density function
- model based clustering
- gaussian distribution
- mixture modeling
- data sets