Maximum Likelihood Estimation of Gaussian Mixture Models Using PSO for Image Segmentation.
Khoa Anh TranVo Quang NhatGueesang LeePublished in: CSE (2013)
Keyphrases
- maximum likelihood estimation
- gaussian mixture model
- expectation maximization
- image segmentation
- em algorithm
- maximum likelihood
- mixture model
- particle swarm optimization pso
- particle swarm optimization
- particle swarm optimization algorithm
- probability density
- speaker recognition
- parameter estimation
- pso algorithm
- gaussian mixture
- gaussian distribution
- speaker identification
- unsupervised learning
- maximum a posteriori
- likelihood function
- probabilistic model
- image processing
- generative model
- probability density function
- log likelihood function
- background subtraction
- bayesian framework
- density estimation
- graph cuts
- markov random field
- mixture of gaussians
- machine learning
- hyperparameters
- statistical analysis
- statistical models
- gaussian model
- feature vectors
- training data
- computer vision