Extrinsic Bayesian Optimizations on Manifolds.
Yihao FangMu NiuPokman CheungLizhen LinPublished in: CoRR (2022)
Keyphrases
- camera calibration
- maximum likelihood
- bayesian learning
- bayesian estimation
- data driven
- bayesian networks
- posterior distribution
- manifold learning
- bayesian decision
- gaussian processes
- camera parameters
- nonlinear dimensionality reduction
- low dimensional
- bayesian analysis
- arbitrary dimension
- cell complexes
- bayesian inference
- data sets
- high dimensional data
- prior knowledge
- multiscale
- image segmentation