"The faster proximal algorithm, the better unfolded deep learning ..."

Hoang Trieu Vy Le, Nelly Pustelnik, Marion Foare (2022)

> Home

Details and statistics

DOI: —

access: closed

type: Conference or Workshop Paper

metadata version: 2022-10-25

- view
  - electronic edition @ ieee.org
- export record
  dblp key:
  - conf/eusipco/LePF22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/eusipco/LePF22
Hoang Trieu Vy Le, Nelly Pustelnik, Marion Foare:
The faster proximal algorithm, the better unfolded deep learning architecture ? The study case of image denoising. EUSIPCO 2022: 947-951

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.