AZoM

Why Deep Learning De-Noising is a Game Changer for X-Ray Technology

Innovative X-ray technology from Hamamatsu Photonics improves safety standards in food and non-destructive testing through ...
IEEE

Image Denoising Based on Multi-Stage Cascade Complementary Learning

Abstract: Image denoising is a key component of digital image processing systems. The latest advances in deep learning have led to significant improvements in denoising techniques, particularly ...
IEEE

A deep dictionary learning framework for device-free localization based on nonconvex sparse regularization and DC programming

Abstract: Received signal strength (RSS) based device-free localization (DFL) is commonly used in the Internet of Things (IoT) field. However, the current DFL algorithms have limitations in terms of ...
GitHub

convolutional-sparse-coding

Experiments for ICML paper DICOD: Distributed Convolutional Coordinate Descent for Convolutional Sparse Coding, ICML 2018, T. Moreau, L. Oudre, N. Vayatis.