Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC.
Tolga BirdalUmut SimsekliMustafa Onur EkenSlobodan IlicPublished in: NeurIPS (2018)
Keyphrases
- markov chain
- posterior distribution
- graph theory
- metropolis hastings algorithm
- optimization problems
- markov chain monte carlo
- probability distribution
- optimization algorithm
- monte carlo
- bayesian inference
- efficient optimization
- pose estimation
- posterior probability
- graph structure
- shortest path
- evolutionary algorithm
- gaussian processes
- d objects
- gaussian distribution
- maximum likelihood
- directed graph
- probabilistic model
- directed acyclic graph
- approximate inference
- image segmentation
- random variables
- random walk
- conjugate priors
- face recognition