31 citations · 38 across the 9 of their papers we have counts for
5 papers · 1 filter
Sampling Method for Generalized Graph Signals With Pre-Selected Vertices via DC Optimization
Keitaro Yamashita, Kazuki Naganuma, Shunsuke Ono
This paper proposes a method for vertex-wise aggregation sampling of a broad class of graph signals, designed to attain the best possible recovery based on the generalized sampling…
Spatio-Spectral Structure Tensor Total Variation for Hyperspectral Image Denoising and Destriping
Shingo Takemoto, Kazuki Naganuma, Shunsuke Ono
This paper proposes a novel regularization method, named Spatio-Spectral Structure Tensor Total Variation (S3TTV), for denoising and destriping of hyperspectral (HS) images. HS ima…
Generalized Graph Signal Sampling by Difference-of-Convex Optimization
Keitaro Yamashita, Kazuki Naganuma, Shunsuke Ono
We propose a comprehensive framework for the generalized sampling and recovery of graph signals by leveraging difference-of-convex (DC) optimization. A fundamental challenge in gra…
Variable-Wise Diagonal Preconditioning for Primal-Dual Splitting: Design and Applications
Kazuki Naganuma, Shunsuke Ono
This paper proposes a method for designing diagonal preconditioners for a preconditioned primal-dual splitting method (P-PDS), an efficient algorithm that solves nonsmooth convex o…
Robust Time-Varying Graph Signal Recovery for Dynamic Physical Sensor Network Data
Eisuke Yamagata, Kazuki Naganuma, Shunsuke Ono
We propose a time-varying graph signal recovery method for estimating the true time-varying graph signal from corrupted observations by leveraging dynamic graphs. Most of the conve…