Constrained Quaternion-Variable Convex Optimization: A Quaternion-Valued Recurrent Neural Network Approach.
Yang LiuYanling ZhengJianquan LuJinde CaoLeszek RutkowskiPublished in: IEEE Trans. Neural Networks Learn. Syst. (2020)
Keyphrases
- convex optimization
- recurrent neural networks
- fourier transform
- interior point methods
- recurrent networks
- feed forward
- low rank
- neural network
- primal dual
- total variation
- complex valued
- norm minimization
- reservoir computing
- artificial neural networks
- semidefinite program
- convex formulation
- convex optimization problems
- convex relaxation
- echo state networks
- image compression