Linear-complexity stochastic variational Bayes inference for SLAM.
Xiaoyue JiangMichael HoyHang YuJustin DauwelsPublished in: ITSC (2017)
Keyphrases
- variational bayes
- linear complexity
- bayesian inference
- latent variables
- hyperparameters
- bayesian learning
- free energy
- gaussian mixture model
- latent dirichlet allocation
- expectation propagation
- posterior distribution
- log likelihood
- exponential family
- cross validation
- model selection
- closed form
- particle filter
- prior information
- belief propagation
- probabilistic model
- bayesian framework
- support vector
- expectation maximization
- random sampling
- information theoretic
- markov chain monte carlo
- statistical models
- sample size
- random variables
- co occurrence
- lower bound