Inferring Structural Parameters of Low-Surface-Brightness-Galaxies with Uncertainty Quantification using Bayesian Neural Networks.
Dimitrios TanoglidisAleksandra CiprijanovicAlex Drlica-WagnerPublished in: CoRR (2022)
Keyphrases
- neural network
- maximum likelihood
- physical parameters
- prior distribution
- pattern recognition
- transfer function
- parameter values
- back propagation
- parameter estimation
- d objects
- genetic algorithm
- bayesian networks
- image brightness
- dempster shafer
- three dimensional
- decision theory
- fuzzy inference system
- highly non linear
- dichromatic reflection model
- markov random field prior
- neural nets
- surface reconstruction
- uncertain data
- parameter space
- structural information
- expectation maximization
- fuzzy logic
- probability distribution
- artificial neural networks