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Dense Recurrent Neural Networks for Inverse Problems: History-Cognizant Unrolling of Optimization Algorithms.
Seyed Amir Hossein Hosseini
Burhaneddin Yaman
Steen Moeller
Mingyi Hong
Mehmet Akçakaya
Published in:
CoRR (2019)
Keyphrases
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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