Continuation-based learning algorithm for discrete-time cellular neural networks

By H. Magnussen, G. Papoutsis, J. Nossek. 1994

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

1. Eirikur Agustsson
2. Fabian Mentzer
3. Michael Tschannen
4. Radu Timofte
5. Luc Van Gool
6. Yochai Blau
7. Kai Zhang
8. Chao Dong

Citations in the corpus

• Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks (2017, background): “In the context of neural networks, Magnussen et al. (1994) optimize the parameters of a discrete-time cellular neural network by gradually moving from a sigmoid to a sign function.”