Sequential Monte Carlo Samplers for Dirichlet Process Mixtures.
Yener ÜlkerBilge GünselAli Taylan CemgilPublished in: AISTATS (2010)
Keyphrases
- sequential monte carlo
- dirichlet process
- dirichlet processes
- markov chain monte carlo
- posterior distribution
- particle filter
- mixture model
- particle filtering
- sampling algorithm
- random sampling
- probability distribution
- parameter estimation
- hyperparameters
- latent variables
- bayesian framework
- bayesian inference
- bayesian model
- posterior probability
- visual tracking
- maximum a posteriori
- expectation maximization
- gaussian distribution
- object tracking
- generative model
- data association
- probabilistic model
- gaussian processes
- mean shift
- gaussian mixture model
- model selection
- multi task learning
- kalman filter
- monte carlo
- probability density function
- active learning