Published SaivDr-Release20200903

We updated SaivDr (Sparsity-Aware Image and Volumetric Data Restoration) package for the first time in about six months.

New this time, we added custom layers and sample codes for use with MATLAB Deep Learning Toolbox. It allows for more flexible DAG configuration than before.

NSOLT enables you to realize Parseval tight, symmetric and multi-resolution convolutional layers, and you can place NSOLT as a convolutional layer in a corner of a convolutional neural network.

We hope you will give it a try.

Acknowledgments: This work was supported by KAKENHI JP19H04135.

Report on Participation in the Shin-Etsu Section Convention of IEICE 2023

The Shin-Etsu Section Convention of IEICE was held on September 24, 2023 (Sun.) online.

Our laboratory made the following presentations.

  • Fundamental V> 7C-2
    〇Ryuto ITO, Tsubasa NAITO, Hotaka KITAMURA, Hiroyasu YASUDA, Shogo MURAMATSU (Niigata University, Japan) :
    Prediction of River Water Level Distribution for Comprehensive Flood Control Measures Using Time-Delay Embedded Dynamic Mode Decomposition

This was the first conference presentation by Ito of our laboratory.

It was a valuable experience for me to attend presentations in various research fields. I would like to continue to work harder on my research activities in the future.