5 papers
Data-driven sparse sensor placement based on A-optimal design of experiment with ADMM
Takayuki Nagata, Taku Nonomura, Kumi Nakai +3
The present study proposes a sensor selection method based on the proximal splitting algorithm and the A-optimal design of experiment using the alternating direction method of mult…
On The Synergy Between Nonconvex Extensions of The Tensor Nuclear Norm for Tensor Recovery
Kaito Hosono, Shunsuke Ono, Takamichi Miyata
Low-rank tensor recovery has attracted much attention among various tensor recovery approaches. A tensor rank has several definitions, unlike the matrix rank--e.g. the CP rank and…
A Constrained Convex Optimization Approach to Hyperspectral Image Restoration with Hybrid Spatio-Spectral Regularization
Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa
We propose a new constrained optimization approach to hyperspectral (HS) image restoration. Most existing methods restore a desirable HS image by solving some optimization problem,…
TrendNets: Mapping Emerging Research Trends From Dynamic Co-Word Networks via Sparse Representation
Marie Katsurai, Shunsuke Ono
Mapping the knowledge structure from word co-occurrences in a collection of academic papers has been widely used to provide insight into the topic evolution in an arbitrary researc…
Convolutional-Sparse-Coded Dynamic Mode Decomposition and Its Application to River State Estimation
Yuhei Kaneko, Shogo Muramatsu, Hiroyasu Yasuda +4
This work proposes convolutional-sparse-coded dynamic mode decomposition (CSC-DMD) by unifying extended dynamic mode decomposition (EDMD) and convolutional sparse coding. EDMD is a…