Unsupervised Weight Parameter Estimation for Exponential Mixture Distribution Based on Symmetric Kullback-Leibler Divergence.
Masato UchidaPublished in: IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (2015)
Keyphrases
- parameter estimation
- kullback leibler divergence
- generalized gaussian
- em algorithm
- probability density function
- mutual information
- maximum likelihood
- expectation maximization
- model selection
- information theoretic
- markov random field
- unsupervised learning
- information theory
- statistical models
- posterior distribution
- least squares
- distance measure
- random fields
- marginal distributions
- maximum likelihood estimation
- semi supervised
- mixture model
- supervised learning
- machine learning
- gaussian mixture model
- random variables
- density estimation
- generative model
- density function
- hyperparameters
- similarity measure
- feature extraction
- image segmentation
- feature selection