Near-Optimal MAP Estimation for Markov Jump Linear Systems Using Relaxed Dynamic Programming.
A. R. P. AndriënDuarte J. AntunesPublished in: IEEE Control. Syst. Lett. (2020)
Keyphrases
- linear systems
- map estimation
- dynamic programming
- markov chain
- maximum a posteriori
- state space
- maximum likelihood
- dynamical systems
- markov random field
- sufficient conditions
- noisy images
- em algorithm
- sparse linear systems
- maximum a posterior
- linear programming
- image reconstruction
- coefficient matrix
- energy function
- cost function
- expectation maximization
- artificial neural networks
- multi view
- natural images
- image restoration
- stereo matching
- control system
- optimal solution
- image processing
- machine learning