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Yuji Saito
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2020 – today
- 2023
- [j10]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: 67850-67864 (2023) - 2022
- [j9]Keigo Yamada, Yuji Saito, Taku Nonomura, Keisuke Asai:
Greedy Sensor Selection for Weighted Linear Least Squares Estimation Under Correlated Noise. IEEE Access 10: 79356-79364 (2022) - [j8]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: 80748-80763 (2022) - [j7]Kanta Endo, Takumi Ambo, Yuji Saito, Taku Nonomura, Lin Chen, Keisuke Asai:
Proposal and verification of optical flow reformulation based on variational method for skin-friction-stress field estimation from unsteady oil film distribution. J. Vis. 25(2): 263-280 (2022) - [j6]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: 5251-5264 (2022) - [j5]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: 5694-5707 (2022) - 2021
- [j4]Kumi Nakai, Keigo Yamada, Takayuki Nagata, Yuji Saito, Taku Nonomura:
Effect of Objective Function on Data-Driven Greedy Sparse Sensor Optimization. IEEE Access 9: 46731-46743 (2021) - [j3]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: 68535-68551 (2021) - [j2]Tomohiro Okudera, Takayuki Nagata, Miku Kasai, Yuji Saito, Taku Nonomura, Keisuke Asai:
Effect of Oxygen Mole Fraction on Static Properties of Pressure-Sensitive Paint. Sensors 21(4): 1062 (2021) - [j1]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: 284-288 (2021) - [i3]Keigo Yamada, Yuji Saito, Taku Nonomura, Keisuke Asai:
Greedy Sensor Placement for Weighted Linear-Least Squares Estimation under Correlated Noise. CoRR abs/2104.12951 (2021) - 2020
- [i2]Taku Nonomura, Shunsuke Ono, Kumi Nakai, Yuji Saito:
Randomized Subspace Newton Convex Method Applied to Data-Driven Sensor Selection Problem. CoRR abs/2009.09315 (2020) - [i1]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 abs/2010.09329 (2020)
2010 – 2019
- 2011
- [c1]Junichiro Hayano, Eiichi Watanabe, Yuji Saito, Fumihiko Sasaki, Kiyohiro Kawai, Itsuo Kodama, Hiroki Sakakibara:
Diagnosis of sleep apnea by the analysis of heart rate variation: A mini review. EMBC 2011: 7731-7734
Coauthor Index
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