Bayesian Gaussian mixture model for robotic policy imitation.
Emmanuel PignatSylvain CalinonPublished in: CoRR (2019)
Keyphrases
- gaussian mixture model
- maximum likelihood
- mixture model
- imitation learning
- em algorithm
- speaker recognition
- speaker identification
- feature vectors
- expectation maximization
- mobile robot
- gaussian mixture
- robotic systems
- probability density function
- gaussian distribution
- feature space
- bayesian networks
- background subtraction
- density estimation
- gaussian model
- gaussian mixture modeling
- posterior distribution
- pairwise
- image processing
- humanoid robot
- probabilistic model
- high dimensional
- mixture of gaussians
- learning algorithm
- data mining