Variational Bayesian Methods for a Tree-Structured Stick-Breaking Process Mixture of Gaussians.
Yuta NakaharaPublished in: CoRR (2024)
Keyphrases
- bayesian methods
- mixture of gaussians
- gaussian process
- maximum likelihood estimation
- hyperparameters
- model selection
- bayesian framework
- gaussian processes
- density function
- gaussian mixture
- gaussian distribution
- density estimation
- background subtraction
- gaussian mixture model
- mixture model
- machine learning
- cross validation
- expectation maximization
- machine learning methods
- bayesian inference
- prior knowledge
- image segmentation
- closed form
- regression model
- maximum likelihood
- nearest neighbor
- decision trees