Estimation of Single-Gaussian and Gaussian Mixture Models for Pattern Recognition.
Jan VanekLukás MachlicaJosef PsutkaPublished in: CIARP (1) (2013)
Keyphrases
- gaussian mixture model
- pattern recognition
- probability density
- mixture model
- density estimation
- gaussian mixture
- em algorithm
- feature vectors
- maximum likelihood
- gaussian distribution
- covariance matrices
- feature space
- image processing
- speaker identification
- speaker recognition
- mixture distribution
- machine learning
- expectation maximization
- neural network
- maximum likelihood criterion
- gaussian model
- generative model
- feature extraction
- mixture of gaussians
- speech recognition
- unsupervised learning
- markov random field
- maximum likelihood estimation
- feature set
- feature selection
- computer vision
- variational bayes
- log likelihood function