Quantifying Uncertainty in Motion Prediction with Variational Bayesian Mixture.
Juanwu LuCan CuiYunsheng MaAniket BeraZiran WangPublished in: CoRR (2024)
Keyphrases
- variational bayesian
- motion prediction
- exponential family
- dirichlet process
- expectation maximization
- short term
- mixture model
- motion estimation
- kalman filter
- matrix factorization
- maximum likelihood
- factor analysis
- variational inference
- graphical models
- statistical models
- long term
- gaussian processes
- multi task learning
- density estimation
- video coding
- missing values
- em algorithm
- incomplete data
- log likelihood
- variational methods
- closed form
- motion vectors
- sampling algorithm
- bayesian inference
- bayesian model
- bayesian methods
- computer vision
- posterior distribution
- gaussian distribution
- probability density function
- bayesian framework
- gaussian mixture model
- statistical model
- missing data
- markov random field
- inter layer
- probabilistic model
- machine learning