Bayesian Pose Graph Optimization via Bingham Distributions and Tempered Geodesic MCMC.
Tolga BirdalUmut SimsekliM. Onur EkenSlobodan IlicPublished in: CoRR (2018)
Keyphrases
- posterior distribution
- probability distribution
- markov chain monte carlo
- posterior probability
- bayesian inference
- metropolis hastings algorithm
- dirichlet process
- markov chain
- random walk
- monte carlo
- bayesian networks
- d objects
- weighted graph
- graph theory
- graph matching
- maximum likelihood
- pose estimation
- probabilistic model
- directed graph
- gaussian distribution
- random variables
- graph structure
- optimization problems
- least squares
- rotation invariant
- gaussian processes
- bayesian methods
- shortest path
- prior distribution
- exponential family
- optimization algorithm