Time dependent global optimization via Bayesian inference and Sequential Monte Carlo sampling.
Piotr KopkaAnna WawrzynczakMieczyslaw BorysiewiczPublished in: FedCSIS (2013)
Keyphrases
- sequential monte carlo
- global optimization
- bayesian inference
- particle filter
- visual tracking
- particle swarm optimization
- hyperparameters
- particle filtering
- gibbs sampler
- probabilistic model
- importance sampling
- monte carlo
- object tracking
- markov chain monte carlo
- state space
- posterior distribution
- mean shift
- prior information
- kalman filter
- appearance model
- genetic algorithm
- multiple objects
- learning algorithm
- generative model
- higher order
- gaussian process
- multi objective
- search algorithm
- bayesian networks