Alternating Maximization and the EM Algorithm in Maximum-Likelihood Direction Finding.
Ming-Yan GongBin LyuPublished in: IEEE Trans. Veh. Technol. (2021)
Keyphrases
- em algorithm
- maximum likelihood
- expectation maximization
- likelihood function
- mixture model
- maximum likelihood estimation
- parameter estimation
- gaussian mixture model
- generative model
- maximum a posteriori
- expectation maximisation
- penalized likelihood
- log likelihood function
- hyperparameters
- log likelihood
- likelihood maximization
- hidden variables
- parameter learning
- gaussian distribution
- gaussian mixture
- image processing
- mixture modeling
- incomplete data
- probability density function
- density estimation
- unsupervised learning
- model based clustering
- probabilistic model
- high dimensional
- finite mixture models
- objective function
- image segmentation