Parallel Implementation of Expectation-maximisation Algorithm for the Training of Gaussian Mixture Models.
Gabriel Ferreira AraújoHendrik T. MacedoMarco Túlio ChellaCarlos A. E. MontescoMarcus MedeirosPublished in: J. Comput. Sci. (2014)
Keyphrases
- parallel implementation
- expectation maximization
- em algorithm
- gaussian mixture model
- k means
- expectation maximisation
- density estimation
- mixture model
- times faster
- learning algorithm
- machine learning
- maximum likelihood
- bayesian framework
- probabilistic model
- image processing
- parallel computation
- parallel architecture