Keyphrases
- em algorithm
- measurement noise
- expectation maximization
- mixture model
- kalman filtering
- maximum likelihood
- maximum likelihood estimates
- parameter estimation
- gaussian mixture model
- maximum likelihood estimation
- penalized likelihood
- generative model
- incomplete data
- maximum a posteriori
- likelihood function
- closed form
- gaussian mixture
- expectation maximisation
- unsupervised learning
- probabilistic model
- mixture modeling
- computer vision
- log likelihood function
- mixture distribution
- multiscale
- reinforcement learning
- k means
- model selection
- video data