Toward Global Convergence of Gradient EM for Over-Parameterized Gaussian Mixture Models.
Weihang XuMaryam FazelSimon S. DuPublished in: CoRR (2024)
Keyphrases
- gaussian mixture model
- global convergence
- expectation maximization
- em algorithm
- mixture model
- convergence rate
- optimization methods
- log likelihood function
- convergence analysis
- convergence speed
- global optimum
- maximum likelihood
- gradient method
- convex minimization
- feature vectors
- speaker recognition
- gaussian mixture
- gaussian distribution
- probabilistic model
- speaker identification
- covariance matrices
- feature space
- density estimation
- probability density function
- step size
- genetic algorithm
- objective function
- optimization method
- unsupervised learning
- particle swarm
- optimization problems
- mixture of gaussians
- search space
- object recognition
- reinforcement learning
- bayesian networks
- image segmentation