59 citations · 258 across the 20 of their papers we have counts for
4 papers · 1 filter
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…
Randomized Subspace Newton Convex Method Applied to Data-Driven Sensor Selection Problem
Taku Nonomura, Shunsuke Ono, Kumi Nakai +1
The randomized subspace Newton convex methods for the sensor selection problem are proposed. The randomized subspace Newton algorithm is straightforwardly applied to the convex for…
Epigraphical Relaxation for Minimizing Layered Mixed Norms
Seisuke Kyochi, Shunsuke Ono, Ivan Selesnick
This paper proposes an epigraphical relaxation (ERx) technique for non-proximable mixed norm minimization. Mixed norm regularization methods play a central role in signal reconstru…