Improving the state estimation for optimal control of stochastic processes subject to multiplicative noise.
Frédéric CrevecoeurRodolphe SepulchreJean-Louis ThonnardPhilippe LefèvrePublished in: Autom. (2011)
Keyphrases
- optimal control
- state estimation
- stochastic processes
- multiplicative noise
- brownian motion
- stochastic process
- kalman filter
- dynamic programming
- particle filter
- probability distribution
- random fields
- control strategy
- additive noise
- dynamic systems
- kalman filtering
- visual tracking
- reinforcement learning
- denoising
- sar images
- particle filtering
- noise reduction
- total variation
- random variables
- synthetic aperture radar
- dynamic bayesian networks
- image denoising
- noisy images
- machine learning
- computer vision
- speckle noise
- non stationary
- multi view
- image sequences