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Kumi Nakai
ORCID
Publication Activity (10 Years)
Years Active: 2020-2023
Publications (10 Years): 10
Top Topics
Sensor Placement
Selection Algorithm
Optimal Design
Sparse Pca
Top Venues
IEEE Access
CoRR
IEEE Trans. Signal Process.
IEEE Signal Process. Lett.
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Publications
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Shun Takahashi
,
Yasuo Sasaki
,
Takayuki Nagata
,
Keigo Yamada
,
Kumi Nakai
,
Yuji Saito
,
Taku Nonomura
Sensor Selection by Greedy Method for Linear Dynamical Systems: Comparative Study on Fisher-Information-Matrix, Observability-Gramian and Kalman-Filter-Based Indices.
IEEE Access
11 (2023)
Keigo Yamada
,
Yasuo Sasaki
,
Takayuki Nagata
,
Kumi Nakai
,
Daisuke Tsubakino
,
Taku Nonomura
Efficient Sensor Node Selection for Observability Gramian Optimization.
Sensors
23 (13) (2023)
Yuto Iwasaki
,
Taku Nonomura
,
Kumi Nakai
,
Takayuki Nagata
,
Yuji Saito
,
Keisuke Asai
Evaluation of Optimization Algorithms and Noise Robustness of Sparsity-Promoting Dynamic Mode Decomposition.
IEEE Access
10 (2022)
Kumi Nakai
,
Yasuo Sasaki
,
Takayuki Nagata
,
Keigo Yamada
,
Yuji Saito
,
Taku Nonomura
Nondominated-Solution-Based Multi-Objective Greedy Sensor Selection for Optimal Design of Experiments.
IEEE Trans. Signal Process.
70 (2022)
Takayuki Nagata
,
Keigo Yamada
,
Taku Nonomura
,
Kumi Nakai
,
Yuji Saito
,
Shunsuke Ono
Data-Driven Sensor Selection Method Based on Proximal Optimization for High-Dimensional Data With Correlated Measurement Noise.
IEEE Trans. Signal Process.
70 (2022)
Taku Nonomura
,
Shunsuke Ono
,
Kumi Nakai
,
Yuji Saito
Randomized Subspace Newton Convex Method Applied to Data-Driven Sensor Selection Problem.
IEEE Signal Process. Lett.
28 (2021)
Kumi Nakai
,
Keigo Yamada
,
Takayuki Nagata
,
Yuji Saito
,
Taku Nonomura
Effect of Objective Function on Data-Driven Greedy Sparse Sensor Optimization.
IEEE Access
9 (2021)
Yuji Saito
,
Taku Nonomura
,
Keigo Yamada
,
Kumi Nakai
,
Takayuki Nagata
,
Keisuke Asai
,
Yasuo Sasaki
,
Daisuke Tsubakino
Determinant-Based Fast Greedy Sensor Selection Algorithm.
IEEE Access
9 (2021)
Taku Nonomura
,
Shunsuke Ono
,
Kumi Nakai
,
Yuji Saito
Randomized Subspace Newton Convex Method Applied to Data-Driven Sensor Selection Problem.
CoRR
(2020)
Takayuki Nagata
,
Taku Nonomura
,
Kumi Nakai
,
Keigo Yamada
,
Yuji Saito
,
Shunsuke Ono
Data-driven sparse sensor placement based on A-optimal design of experiment with ADMM.
CoRR
(2020)