On Attitude Representations for Optimization-Based Bayesian Smoothing.
Michael LorenzBertram TaetzManon KokGabriele BleserPublished in: FUSION (2019)
Keyphrases
- global optimization
- efficient optimization
- optimization algorithm
- optimization process
- monte carlo sampling
- smoothing algorithm
- optimization problems
- higher level
- constrained optimization
- attitudes toward
- nonparametric regression
- optimization strategies
- discrete optimization
- prior distribution
- bayesian inference
- database
- posterior probability
- maximum likelihood
- data driven
- evolutionary algorithm
- object recognition
- neural network