ホーム > 櫻井 鉄也/ Sakurai, Tetsuya
櫻井 鉄也
Sakurai, Tetsuya
システム情報系 , 教授 Institute of Systems and Information Engineering , Professor
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複数の機関が保有するデータをより安全に統合解析するAI技術を開発
2023-06-08
櫻井 鉄也
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#026:みんなが使えるAIへ アルゴリズムで現実世界とサイバー空間をつなぐ
2020-02-04
櫻井 鉄也
オープンアクセス版の論文は「つくばリポジトリ」で読むことができます。
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141.
Feature Selection Via Embedding Learning Based on Tangent Space Alignment for Microarray Data
Ye, Xiucai; Sakurai, Tetsuya
Journal of Computing Science and Engineering 11: 121 (2017)
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142.
Reduced-Shifted Conjugate-Gradient Method for a Green's Function: Efficient Numerical Approach in a Nano-Structured Superconductor
Nagai, Yuki; Shinohara, Yasushi; Futamura, Yasunori; Sakurai, Tetsuya
Journal of the Physical Society of Japan 86: 014708-1 (2017) Semantic Scholar
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143.
Highly parallel computation of generalized eigenvalue problem in vibration for automatic transmission of vehicles using the Sakurai–Sugiura method and supercomputers
Ide, Takanori; Inoue, Yuto; Futamura, Yasunori; Sakurai, Tetsuya
MATHEMATICAL ANALYSIS OF CONTINUUM MECHANICS AND INDUSTRIAL APPLICATIONS 26: 207 (2017) Semantic Scholar
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144.
Reduced-Shifted Conjugate-Gradient Method for a Green's Function: Efficient Numerical Approach in a Nano-Structured Superconductor
Nagai, Yuki; Shinohara, Yasushi; Futamura, Yasunori; Sakurai, Tetsuya
Journal of the Physical Society of Japan 86: 014708-1 (2016) Semantic Scholar
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145.
Relationships among contour integral-based methods for solving generalized eigenvalue problems
Akira Imakura; Lei Du; Tetsuya Sakurai
JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS 33: 721 (2016) Semantic Scholar
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146.
Alternating optimization method based on nonnegative matrix factorizations for deep neural networks
Sakurai, Tetsuya; Imakura, Akira; Inoue, Yuto; Futamura, Yasunori
Proceedings of the 23rd International Conference on Neural Information Processing (ICONIP 2016), LNCS 9950 9950: 16 (2016) Semantic Scholar
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147.
Robust Similarity Measure for Spectral Clustering Based on Shared Neighbors
Xiucai Ye; Tetsuya Sakurai
ETRI JOURNAL 38: 540 (2016) Semantic Scholar
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148.
Robust Similarity Measure for Spectral Clustering Based on Shared Neighbors
Xiucai Ye; Tetsuya Sakurai
ETRI JOURNAL 38: 540 - 550 (2016) Semantic Scholar
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149.
Eigenspectrum Calculation of the Non-Hermitian O(a)-Improved Wilson-Dirac Operator using the Sakurai-Sugiura Method
Kuramashi,Yoshinobu; Suno,Hiroya; Nakamura,Yoshifumi; Ishikawa,Ken-Ichi (+2 著者) Sakurai,Tetsuya
Proceedings of Science LATTICE 2015: 026 (2016)
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150.
Stochastic estimation of level density in nuclear shell-model calculations
Shimizu, Noritaka; Utsuno, Yutaka; Futamura, Yasunori; Sakurai, Tetsuya (+1 著者) Otsuka, Takaharu
EPJ Web of Conferences 122: (2016) Semantic Scholar
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151.
Global Discriminant Analysis for Unsupervised Feature Selection with Local Structure Preservation
Ye, Xiucai; Ji, Kaiyang; Sakurai, Tetsuya
Proceeding of the 29th Florida Artificial Intelligence Research Society Conference (FLAIRS-29) 454 (2016)
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152.
Global Discriminant Analysis for Unsupervised Feature Selection with Local Structure Preservation
Ye, Xiucai; Sakurai, Tetsuya
Proc. Florida Artificial Intelligence Research Society Conference 454 (2016)
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153.
Highly Parallel Computation of Eigenvalue Analysis in Vibration for Automatic Transmission using Sakurai-Sugiura Method and K-Computer
Takanori Ide; Kentaro Toda; Yasunori Futamura; Tetsuya Sakurai
SAE Technical Papers 2016-: (2016) Semantic Scholar
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154.
Spectral Clustering and Discriminant Analysis for Unsupervised Feature Selection
Ye, Xiucai; Ji, Kaiyang; Sakurai, Tetsuya
Proceeding of the European Symposium on Artificial Neural Networks 563 (2016)
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155.
Spectral clustering and discriminant analysis for unsupervised feature selection
Ye, Xiucai; Ji, Kiang; Sakurai, Tetsuya
Proc. European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning 563 (2016)
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156.
Unsupervised Feature Selection with Correlation and Individuality Analysis
Sakurai,Tetsuya; Xiucai,Ye; Kaiyang,Ji
International Journal of Machine Learning and Computing 6: 36 (2016)
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157.
Recovering from accuracy deterioration in the contour integral-based eigensolver
Tetsuya,Hasegawa; Imakura,Akira; Tetsuya,Sakurai
JSIAM Letters 8: 1 (2016) Semantic Scholar
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158.
Stochastic estimation of nuclear level density in the nuclear shell model: An application to parity-dependent level density in Ni-58
Noritaka Shimizu; Yutaka Utsuno; Yasunori Futamura; Tetsuya Sakurai (+1 著者) Takaharu Otsuka
PHYSICS LETTERS B 753: 13 (2016) Semantic Scholar
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159.
Unsupervised Feature Selection with Correlation and Individuality Analysis
Ye, Xiucai; Ji, Kaiyang; Sakurai, Tetsuya
International Journal of Machine Learning and Computing 6: 36 (2016)
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160.
Shifted CG法を用いた超伝導自己無撞着平均場計算の実空間高速解法
永井, 佑紀; 篠原, 康; 二村, 保徳; 櫻井, 鉄也
Meeting Abstracts of the Physical Society of Japan 71: 1453 (2016)
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1.
固有値計算と特異値計算
櫻井,鉄也
(担当:分担執筆, 範囲:第5章 櫻井-杉浦法)
丸善出版 2019年12月
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2.
数値線形代数の数理とHPC
櫻井,鉄也
(担当:分担執筆, 範囲:固有値問題の数値解法)
共立出版 2018年8月 (ISBN: 9784320019553)
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3.
2015 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)
Ye, Xiucai; Sakurai, Tetsuya
(担当:分担執筆, 範囲:Spectral Clustering Using Robust Similarity Measure Based on Closeness of Shared Nearest Neighbors)
IEEE 2015年 (ISBN: 9781479919598)
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4.
数値の処理と数値解析
櫻井,鉄也
放送大学教育振興会 2014年3月
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5.
計算力学理論ハンドブック
櫻井, 鉄也
(担当:分担執筆, 範囲:線形方程式の解法と固有値解析)
朝倉書店 2010年1月
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6.
現代数理科学事典 第2版
櫻井, 鉄也
(担当:分担執筆, 範囲:非線形方程式の解法)
丸善 2010年1月
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7.
SNC'09: PROCEEDINGS OF THE 2009 INTERNATIONAL WORKSHOP ON SYMBOLIC-NUMERIC COMPUTATION
Sakurai, Tetsuya; Asakura, Junko; Tadano, Hiroto; Ikegami, Tsutomu; Kimura, Kinji
(担当:分担執筆, 範囲:A Method for Finding Zeros of Polynomial Equations using a Contour Integral Based Eigensolver)
ASSOC COMPUTING MACHINERY 2009年1月 (ISBN: 9781605586649)
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8.
2007 IEEE International Workshop on Databases for Next Generation Researchers
Kishimoto, Sadaya; Murakata, Mamoru; Nakanishi, Takafumi; Sakurai, Tetsuya; Kitagawa, Takashi
(担当:分担執筆, 範囲:Problem-solving support system for mathematical sciences)
IEEE 2007年1月 (ISBN: 9781424409037)
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9.
Applied Parallel Computing - STATE OF THE ART IN SCIENTIFIC COMPUTING
Sakurai, Tetsuya; Kodaki, Yoshihisa; Tadano, Hiroto; Umeda, Hiroaki; Inadomi, Yuichi; Watanabe, Toshio; Nagashima, Umpei
(担当:分担執筆, 範囲:A master-worker type eigensolver for molecular orbital computations)
SPRINGER-VERLAG BERLIN 2007年1月 (ISBN: 9783540757542)
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10.
Proceedings of the IASTED International Conference on Databases and Applications
Kishimoto, Sadaya; Nakanishi, Takafumi; Murakata, Mamoru; Otsuka, Toru; Sakurai, Tetsuya; Kitagawa, Takashi
(担当:分担執筆, 範囲:An implementation method of an integrated associative search for mathematical expressions)
ACTA PRESS ANAHEIM 2006年1月
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11.
ADVANCES IN GRID AND PERVASIVE COMPUTING, PROCEEDINGS
Aida, Y; Nakajima, Y; Sato, M; Sakurai, T; Takahashi, D; Boku, T
(担当:分担執筆, 範囲:Performance improvement by data management layer in a grid RPC system)
SPRINGER-VERLAG BERLIN 2006年1月 (ISBN: 3540338098)
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12.
APPLIED PARALLEL COMPUTING: STATE OF THE ART IN SCIENTIFIC COMPUTING
Sakurai, T; Hayakawa, K; Sato, M; Takahashi, D
(担当:分担執筆, 範囲:A parallel method for large sparse generalized eigenvalue problems by OmniRPC in a grid environment)
SPRINGER-VERLAG BERLIN 2006年1月 (ISBN: 3540290672)
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13.
LARGE-SCALE SCIENTIFIC COMPUTING
Sakurai, T; Kodaki, Y; Umeda, H; Inadomi, Y; Watanabe, T; Nagashima, U
(担当:分担執筆, 範囲:A hybrid parallel method for large sparse eigenvalue problems on a grid computing environment using Ninf-G/MPI)
SPRINGER-VERLAG BERLIN 2006年1月 (ISBN: 3540319948)
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14.
数値計算のわざ
櫻井, 鉄也
共立出版 2006年1月
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15.
ICNAAM 2004: INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2004
Tadano, H; Sakurai, T
(担当:分担執筆, 範囲:A method for avoiding breakdown in product-type iterative methods and its behavior for Toeplitz linear systems)
WILEY-V C H VERLAG GMBH 2004年1月 (ISBN: 3527405631)
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16.
ICNAAM 2004: INTERNATIONAL CONFERENCE ON NUMERICAL ANALYSIS AND APPLIED MATHEMATICS 2004
Sakurai, T; Tadano, H; Inadomi, Y; Nagashima, U
(担当:分担執筆, 範囲:A moment-based method for large scale eigenvalue problems)
WILEY-V C H VERLAG GMBH 2004年1月 (ISBN: 3527405631)
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17.
数値計算のつぼ
櫻井, 鉄也
共立出版 2004年1月
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18.
MATLAB/Scilabで理解する数値計算
櫻井鉄也
東京大学出版会 東京大学出版会 2003年1月
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19.
大規模一般化固有値問題の並列解法
櫻井鉄也
(担当:監修)
応用数理 応用数理 2003年1月
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20.
数値計算法
櫻井, 鉄也
オーム社 オーム社 1998年1月
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1.
Ensemble Learning for Cluster Number Detection Based on Shared Nearest Neighbor Graph and Spectral Clustering
Zhang, Weihang; Ye, Xiucai; Sakurai, Tetsuya
International Joint Conference on Neural Networks (IJCNN 2022) 2022年7月18日
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2.
Complex moment-based method with nonlinear transformation for computing partial singular triplets
Imakura, Akira; Sakurai, Tetsuya
Numerical Methods for Large Scale Problems 2022年6月6日
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3.
Sequential Active Gene Selection in Renal Cell Carcinoma
Huang, Meng; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
6th International Conference on Medical and Health Informatics 2022年5月13日
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4.
Advantages of Learning to Rank in Compound-protein Associations Prediction
Ru, Xiaoqing; Ye, Xiucai; Sakurai, Tetsuya; Zou, Quan
6th International Conference on Medical and Health Informatics 2022年5月13日
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5.
Multi-view Network Embedding for Drug-target Interactions Prediction
Shang, Yifan; Ye, Xiucai; Futamura, Yasunori; Yu, Liang; Sakurai, Tetsuya
6th International Conference on Medical and Health Informatics 2022年5月13日
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6.
Peptide Toxicity Prediction Based on Transfer Learning
Wei, lesong; Ye, Xiucai; Sakurai, Tetsuya; Mu, Zengchao; Wei, Leyi
6th International Conference on Medical and Health Informatics 2022年5月13日
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7.
Application of Data Collaboration Analysis to Distributed Metabolomics Data with Misaligned Features
Mizoguchi, Akihiro; Imakura, Akira; Sakurai, Tetsuya
2022 6th International Conference on Medical and Health Informatics (ICMHI 2022) 2022年5月13日
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8.
Multi-View Federated Learning with Data Collaboration
Yang, Yitao; Ye, Xiucai; Sakurai, Tetsuya
14th International Conference on Machine Learning and Computing (ICMLC) 2022年2月18日
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9.
測地線距離に基づくスペクトラルグラフ分割による並列Nested Dissection
若木良太; 二村, 保徳; 櫻井鉄也
日本応用数理学会「行列・固有値問題の解法とその応用」研究部会 第32回研究会 2021年12月10日
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10.
Collaborative Novelty Detection for Distributed Data by a Probabilistic Method
Imakura, Akira; Ye, Xiucai; Sakurai, Tetsuya
13th Asian Conference on Machine Learning 2021年11月17日
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11.
機械学習を用いた子宮頸がん放射線治療後の予後予測
後藤, 雅明; 二村, 保徳; 斎藤, 高; 石田, 俊樹; 玉木, 義雄; 櫻井, 鉄也; 櫻井, 英幸
日本放射線腫瘍学会第34回学術大会 2021年11月12日
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12.
Spectral Graph Partitioning Using Geodesic Distance-based Projection
Futamura, Yasunori; Wakaki, Ryota; Sakurai, Tetsuya
2021 IEEE High Performance Extreme Computing Conference (HPEC) 2021年9月20日
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13.
Spectral Clustering Joint Deep Embedding Learning by Autoencoder
Ye, Xiucai; Wang, Chunhao; Imakura, Akira; Sakurai, Tetsuya
International Joint Conference on Neural Networks (IJCNN 2021) 2021年7月18日
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14.
Parallel Contour Integral-Based Eigenvalue Computation using a Block Krylov Linear Solver with Shift-Invert Preconditioning
Futamura, Yasunori; Sakurai, Tetsuya
SIAM Conference on Computational Science and Engineering 2021年3月1日 SIAM
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15.
Accuracy and Privacy Evaluations of Collaborative Data Analysis
Imakura, Akira; Bogdanova, Anna; Yamazoe, Takaya; Omote, Kazumasa; Sakurai, Tetsuya
The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21) 2021年2月8日
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16.
Efficient Contour Integral-based Eigenvalue Computation using an Iterative Linear Solver with Shift-Invert Preconditioning
Futamura, Yasunori; Sakurai, Tetsuya
The International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2021) 2021年1月20日
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17.
Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace
Yano, Takahiro; Futamura, Yasunori; Imakura, Akira; Sakurai, Tetsuya
The International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2021) 2021年1月20日
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18.
Ensemble Learning for Spectral Clustering
Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
IEEE International Conference on Data Mining (ICDM 2020) 2020年11月17日
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19.
Hubness-Based Sampling Method For Nystrom Spectral Clustering
Li, Hongmin; Ye, Xiucai; Imakura, Akira; Sakurai, Tetsuya
2020 International Joint Conference on Neural Networks (IJCNN 2020) 2020年7月19日
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20.
A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design
Jair; Pereira Junior; ARANHA, CLAUS DE CASTRO; Tetsuya, Sakurai
World Congress on Computational Intelligence 2020年7月19日
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1. 特願2018-243376: 分散データ統合装置、分散データ統合方法及び分散データ統合プログラム
今倉, 暁; 櫻井, 鉄也 -
2. 2022-010035: 端末、データ処理装置、端末制御プログラム、データ処理プログラム、端末制御方法及びデータ処理方法
今倉暁; 櫻井鉄也; 岡田, 幸彦; 藤井智也; 坂元哲平 -
3. 特願2020-563129: 分散データ統合装置、分散データ統合解析装置、分散データ統合方法、及びプログラム
今倉, 暁; sakurai, tetsuya -
4. 特願2017-113630: 画像処理システム、評価モデル構築方法、画像処理方法及びプログラム
櫻井, 鉄也; 木村宇任 -
5. 特願2017-113759: 画像処理システム、評価モデル構築方法、画像処理方法及びプログラム
櫻井, 鉄也; 木村宇任 -
6. 特願2017-005786: 画像処理システム、画像処理方法及び画像処理プログラム
永田, 毅; 渋木, 尚; 前川, 秀正; 佐野, 碧; 檜作, 彰良; 浅井, 剛; 吉田, 貢; 六角, 広介; 櫻井, 鉄也; 祖平, 明夫
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