A recursive randomized EM-algorithm for estimation under quantization error.
Lorenzo FinessoLászló GerencsérIldikó KmecsPublished in: ACC (2000)
Keyphrases
- em algorithm
- quantization error
- maximum likelihood estimation
- parameter estimation
- expectation maximization
- log likelihood function
- maximum likelihood
- mixture model
- generative model
- gaussian mixture model
- density estimation
- maximum likelihood estimates
- additive noise
- visual words
- hyperparameters
- error diffusion
- probabilistic model
- maximum a posteriori
- gray scale
- reconstruction error
- image processing
- gray level
- unsupervised learning
- graphical models
- pairwise