Enhancing the Performance of Maximum-Likelihood Gaussian EDAs Using Anticipated Mean Shift.
Peter A. N. BosmanJörn GrahlDirk ThierensPublished in: PPSN (2008)
Keyphrases
- mean shift
- maximum likelihood
- evolutionary algorithm
- estimation of distribution algorithms
- evolutionary computation
- object tracking
- gaussian distribution
- density function
- em algorithm
- continuous domains
- covariance matrices
- mode seeking
- graph cuts
- kernel density estimate
- gaussian mixture model
- maximum likelihood estimation
- image segmentation algorithm
- kernel density estimation
- feature space
- expectation maximization
- visual object tracking
- riemannian manifolds
- genetic programming
- differential evolution
- genetic algorithm
- mixture model
- feature subset selection
- evolution strategy
- particle filter
- feature extraction
- bayesian networks
- multi objective
- image processing
- probability density function
- sampling procedure
- learning algorithm
- maximum a posteriori