Adaptive Riemannian stochastic gradient descent and reparameterization for Gaussian mixture model fitting.
Chunlin JiYuhao FuPing HePublished in: ACML (2023)
Keyphrases
- model fitting
- gaussian mixture
- stochastic gradient descent
- least squares
- expectation maximization
- parameter estimation
- em algorithm
- gaussian mixture model
- probability density function
- shape model
- closed form
- active appearance models
- covariance matrix
- density estimation
- mixture model
- loss function
- image segmentation
- maximum likelihood
- probabilistic model
- machine learning
- maximum a posteriori
- statistical model
- multiscale