Multi-kernel approach to Parallelization of EM Algorithm for GMM Training.
Marcus MedeirosGabriel Ferreira AraújoHendrik T. MacedoMarco Túlio ChellaLeonardo Nogueira MatosPublished in: BRACIS (2014)
Keyphrases
- em algorithm
- multi kernel
- gaussian mixture model
- expectation maximization
- mixture model
- gaussian mixture
- maximum likelihood
- parameter estimation
- incomplete data
- generative model
- maximum a posteriori
- graph embedding
- hyperparameters
- probability density function
- density estimation
- training set
- supervised learning
- feature vectors
- training examples
- machine learning
- pairwise
- multiple kernel learning
- gaussian model
- training data
- gaussian kernels
- decision trees