Bayesian inference of dynamics from partial and noisy observations using data assimilation and machine learning.
Marc BocquetJulien BrajardAlberto CarrassiLaurent BertinoPublished in: CoRR (2020)
Keyphrases
- bayesian inference
- data assimilation
- noisy observations
- machine learning
- anomaly detection
- kalman filter
- simulation models
- smart environments
- remote sensing
- probabilistic model
- motion field
- image sequences
- agent based simulation
- prior information
- hyperparameters
- agent based simulations
- particle filter
- simulation model
- computer vision
- feature selection
- ambient intelligence
- pattern recognition
- learning algorithm
- object tracking
- context aware
- model selection
- motion estimation
- active learning
- motion compensation
- graphical models
- artificial intelligence
- reinforcement learning
- image processing