Stochastic Approximation Algorithm with Randomization at the Input for Unsupervised Parameters Estimation of Gaussian Mixture Model with Sparse Parameters.
Andrei A. BoiarovOleg N. GranichinPublished in: Autom. Remote. Control. (2019)
Keyphrases
- parameters estimation
- expectation maximization
- stochastic approximation
- gaussian mixture model
- parameter estimation
- em algorithm
- gaussian mixture
- maximum likelihood
- monte carlo
- computational complexity
- estimation algorithm
- mixture model
- segmentation algorithm
- k means
- probabilistic model
- unsupervised learning
- learning algorithm
- synthetic and real images
- computationally efficient
- step size
- convergence rate
- image restoration
- higher order
- supervised learning
- clustering algorithm
- computer vision