Parallelizable Bayesian tomography algorithms with rapid, guaranteed convergence.
Jun ZhengSuhail S. SaquibKen D. SauerCharles A. BoumanPublished in: IEEE Trans. Image Process. (2000)
Keyphrases
- theoretical analysis
- orders of magnitude
- computational cost
- machine learning
- iterative algorithms
- convergence rate
- times faster
- computationally efficient
- bayesian networks
- learning algorithm
- optimization problems
- markov random field
- probability distribution
- image processing
- recently developed
- convergence speed
- neural network
- stochastic approximation
- theoretical justification
- quasi newton
- rapid convergence