Deep Probabilistic Regression of Elements of SO(3) using Quaternion Averaging and Uncertainty Injection.
Valentin PeretroukhinBrandon WagstaffJonathan KellyPublished in: CVPR Workshops (2019)
Keyphrases
- uncertain data
- conditional probabilities
- probability theory
- regression model
- probability measures
- handling uncertainty
- probabilistic model
- bayesian networks
- regression analysis
- information theoretic
- linear regression
- possibility theory
- decision theory
- data sets
- inherent uncertainty
- locally weighted
- support vector
- probability measure
- regression algorithm
- probabilistic logic
- data streams
- incomplete information
- fourier transform
- expected utility
- probabilistic reasoning
- reproducing kernel hilbert space
- artificial neural networks
- gaussian processes
- support vector regression
- belief networks
- data driven
- generative model