Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms.
Seyed Amir Hossein HosseiniBurhaneddin YamanSteen MoellerMingyi HongMehmet AkçakayaPublished in: CoRR (2019)
Keyphrases
- recurrent neural networks
- inverse problems
- optimization problems
- global optimization
- optimization methods
- emission tomography
- feed forward
- neural network
- image reconstruction
- learning algorithm
- computational complexity
- convex optimization
- nonlinear dynamic systems
- optimization method
- optimization algorithm
- evolutionary algorithm
- computer vision