An EM and a Stochastic Version of the EM Algorithm for Nonparametric Hidden Semi-Markov Models.
Sonia MalefakiSamis TrevezasNikolaos LimniosPublished in: Commun. Stat. Simul. Comput. (2010)
Keyphrases
- image sequences
- em algorithm
- expectation maximization
- mixture model
- hidden semi markov models
- probabilistic principal component analysis
- expectation maximisation
- maximum likelihood estimation
- maximum likelihood
- gaussian mixture model
- density estimation
- parameter estimation
- generative model
- computer vision
- probabilistic model
- abnormality detection
- unsupervised learning
- finite mixture model
- likelihood function
- log likelihood
- semi markov
- gaussian mixture
- probability density function
- parameter learning
- bayesian framework
- finite mixture models
- penalized likelihood
- incomplete data
- discrete event
- image segmentation
- object recognition
- gibbs sampling
- maximum likelihood estimates
- machine learning
- supervisory control
- k means
- information retrieval