Inference over radiative transfer models using variational and expectation maximization methods.
Daniel Heestermans SvendsenDaniel Hernández-LobatoLuca MartinoValero LaparraÁlvaro MorenoGustau Camps-VallsPublished in: CoRR (2022)
Keyphrases
- statistical models
- variational methods
- significant improvement
- machine learning methods
- predictive power
- learned models
- generative model
- mathematical models
- image segmentation
- preprocessing
- prior knowledge
- probabilistic model
- linear regression
- independence assumption
- neural network
- statistical inference
- mixture model
- em algorithm
- expectation maximization