Success Rates and Posterior Probabilities in Multiple Hypothesis Tracking.
Edmund BrekkeMandar A. ChitrePublished in: FUSION (2018)
Keyphrases
- expectation maximization
- posterior probability
- success rate
- multiple hypothesis tracking
- bayesian framework
- probabilistic model
- generative model
- probability density function
- data association
- bayesian networks
- maximum a posteriori
- conditional probabilities
- k means
- bayes theorem
- probability distribution
- density function
- active learning
- prior knowledge
- reinforcement learning