An EM Approach for Time-Variant Poisson-Gaussian Model Parameter Estimation.
Anna JezierskaCaroline ChauxJean-Christophe PesquetHugues TalbotGilbert EnglerPublished in: IEEE Trans. Signal Process. (2014)
Keyphrases
- parameter estimation
- gaussian model
- expectation maximization
- em algorithm
- maximum likelihood
- mixture model
- gaussian mixture model
- probabilistic model
- gaussian distribution
- image segmentation
- bayesian framework
- unsupervised learning
- statistical models
- parameter estimation algorithm
- maximum a posteriori
- generative model
- k means
- closed form
- least squares
- probability density function
- conditional independence
- gray level
- object detection
- image intensity
- maximum likelihood estimates
- computer vision