Posterior exploration based sequential Monte Carlo for global optimization.
Bin LiuPublished in: J. Glob. Optim. (2017)
Keyphrases
- global optimization
- sequential monte carlo
- posterior distribution
- probability distribution
- search capabilities
- particle filter
- particle swarm optimization
- visual tracking
- latent variables
- bayesian framework
- parameter estimation
- maximum a posteriori
- posterior probability
- markov chain monte carlo
- particle filtering
- global solution
- image completion
- importance sampling
- constrained global optimization
- video sequences
- hyperparameters
- gaussian distribution
- expectation maximization
- prior knowledge
- pairwise
- computer vision
- imperialist competitive algorithm