Fast estimation of Gaussian mixture models for image segmentation.
Nicola GreggioAlexandre BernardinoCecilia LaschiPaolo DarioJosé Santos-VictorPublished in: Mach. Vis. Appl. (2012)
Keyphrases
- feature extraction
- gaussian mixture model
- feature vectors
- image segmentation
- probability density
- expectation maximization
- feature space
- mixture model
- density estimation
- image processing
- maximum likelihood criterion
- speaker recognition
- em algorithm
- log likelihood function
- speaker identification
- maximum likelihood
- maximum likelihood estimation
- gaussian mixture
- multiscale
- parameter estimation
- pattern recognition
- probability density function
- gaussian distribution
- generative model
- image compression
- markov random field
- classification accuracy
- probabilistic model
- k means
- training set
- high dimensional
- computer vision
- mixture distribution