1 citations · 1 across the 3 of their papers we have counts for
4 papers
Unrolled Time-Varying Graph Signal Restoration under Spatiotemporal Smoothness Priors
Hayate Kojima, Hikari Noguchi, Koki Yamada +1
In this paper, we propose restoration methods for time-varying graph signals using deep algorithm unrolling (DAU). Time-varying graph signals, such as signals obtained from sensor…
Graph Signal Denoising Using Regularization by Denoising and Its Parameter Estimation
Hayate Kojima, Hiroshi Higashi, Yuichi Tanaka
In this paper, we propose an interpretable denoising method for graph signals using regularization by denoising (RED). RED is a technique developed for image restoration that uses…
Algorithm Unrolling-based Denoising of Multimodal Graph Signals
Hayate Kojima, Keigo Takanami, Junya Hara +4
We propose a denoising method for multimodal graph signals by an alternating minimization scheme that sequentially solves signal restoration and graph learning problems. Many compl…
Multiscale Graph Construction Using Non-local Cluster Features
Reina Kaneko, Hayate Kojima, Kenta Yanagiya +3
This paper presents a multiscale graph construction method using both graph and signal features. Multiscale graph is a hierarchical representation of the graph, where a node at eac…