Sakurai Tetsuya
- Articles
- Scalable Eigen-analysis engine for large-scale eigenvalue problems,
Sakurai Tetsuya; Futamura Yasunori; Imakura Akira
Advanced Software Technologies for Post-Peta Scale Computing/pp.37-57, 2019-06 - Backward error analysis for linearizations in heavily damped quadratic eigenvalue problem
Chen H.; Meng J.; Sakurai Tetsuya; Wang X.
Numerical Linear Algebra with Applications/26(4), 2019-06 - Online spectral classification for long-term spike sorting
Sakamoto Kotaro; Morikuni Keiichi; Sakurai Tetsuya; Matsu...
Proceedings of the 2021 5th International Conference on Medical and Health Informatics/pp.89-97, 2021-05 - A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design
Jair Pereira Junior; ARANHA CLAUS DE CASTRO; Tetsuya Sak...
Proc. IEEE Congress on Evolutionary Computation (CEC), 2020-07 - Hubness-based Sampling Method for Nystrom Spectral Clustering
Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
Proceeding of the International Joint Conference on Neural Networks (IJCNN 2020), 2020-07 - An Oversampling Framework for Imbalanced Classification Based on Laplacian Eigenmaps
Ye Xiucai; Li Hongmin; Imakura Akira; Sakurai Tetsuya
Neurocomputing/399/pp.107-116, 2020-07 - Novelty Detection in Multimodal Datasets Based on Least Square Probabilistic Analysis
Yoda Hiroyuki; Imakura Akira; Matsuda Momo; Ye Xiucai; Te...
International Journal of Machine Learning and Computing (IJMLC), 2020-07 - Spectral anomaly detection in large graphs using a complex moment-based eigenvalue solver
Futamura Yasunori; Ye Xiucai; Imakura Akira; Sakurai Tet...
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering/6(2), 2020-06 - Data Collaboration Analysis Framework Using Centralisation of Individual Intermediate Representations for Distributed Datasets
Imakura Akira; Sakurai Tetsuya
ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering/6(2), 2020-06 - Multiclass spectral feature scaling method for dimensionality reduction
Matsuda M.; Morikuni Keiichi; Imakura A.; Ye X.; Sakurai T.
Intelligent Data Analysis/24(6)/pp.1273-1287, 2020-12 - MOEA/D-RAD Resource Allocation by Diversity
Lavinas Yuri; Aranha Claus de Castro; Ladeira Marcelo; Sa...
Symposium of the Japanese Society of Evolutionary Computation 2018, 2018-12 - International workshop on eigenvalue problems: algorithms; software and applications, in petascale computing (EPASA2018)
Sakurai Tetsuya; Imamura Toshiyuki; Nakajima Kengo
JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS/36(2)/pp.561-562, 2019-07 - Contour integral method for evaluating leads' self-energy matrix and its applications to first-principles electron transport calculation
岩瀬 滋; 二村 保徳; 今倉 暁; 櫻井 鉄也; 塚本 茂; 小野 倫也
Meeting Abstracts of the Physical Society of Japan/73/pp.2680-2680, 2018 - Ensemble Feature Learning to Identify Risk Factors for Predicting Secondary Cancer
Ye Xiucai; Li Hongmin; Sakurai Tetsuya; Shueng Pei-Wei
International Journal of Medical Sciences/16(7)/pp.949-959, 2019-06 - Distributed Collaborative Feature Selection Based on Intermediate Representation
Ye Xiucai; Li Hongmin; Imakura Akira; Sakurai Tetsuya
Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI-19)/pp.4142-4149, 2019-08 - Polynomial Preconditioner for Linear Systems with Multiple Right-Hand Sides and Multiple Shifts
関川 悠太; 二村 保徳; 今倉 暁; 櫻井 鉄也
Transactions of the Japan Society for Industrial and Applied Mathematics/29(1)/pp.141-164, 2019-03 - Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects
Alvermann Andreas; Basermann Achim; Bungartz Hans-Joachi...
Japan Journal of Industrial and Applied Mathematics/36(2)/pp.699-717, 2019-04 - An improvement of the nonlinear semi-NMF based method by considering bias vectors and regularization for deep neural networks
Arai Ryosuke; Imakura Akira; Sakurai Tetsuya
International Journal of Machine Learning and Computing (IJMLC)/8(3)/pp.191-197, 2018-06 - Parallel implementation of the nonlinear semi-NMF based alternating optimization method for deep neural networks
Imakura Akira; Inoue Yuto; Tetsuya Sakurai; Futamura Yas...
Neural Processing Letters/47(3)/pp.815-827, 2018-06 - Parallel implementation of the nonlinear semi-NMF based alternating optimization method for deep neural networks
Sakurai Tetsuya
Neural Processing Letters/45, 2018-06 - Simultaneous band reduction of two symmetric matrices
Du Lei; Imakura Akira; Sakurai Tetsuya
COMPUTERS & MATHEMATICS WITH APPLICATIONS/77(8)/pp.2207-2220, 2019-04 - Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems
Yano Takahiro; Futamura Yasunori; Imakura Akira; Sakurai ...
JSIAM Letters/10/pp.77-80, 2018 - Cost-efficient cutoff method for tensor renormalization group with randomized singular value decomposition
Yamada Haruka; Imakura Akira; Sakurai Tetsuya
JSIAM LETTERS/10/pp.61-64, 2018 - Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction
Imakura Akira; Matsuda Momo; Ye Xiucai; Sakurai Tetsuya
The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19)/pp.3910-3918, 2019-01 - 局地気象シミュレーションで現れる線形方程式に対する前処理の評価
平野光・多田野寛人・櫻井鉄也・池田亮作・日下博幸; 多田野寛人; 櫻井鉄也; 池田亮作; +日下 博幸
日本応用数理学会2011年度年会予稿集, 2011-09 - more...
- Scalable Eigen-analysis engine for large-scale eigenvalue problems,