櫻井 鉄也(サクライ テツヤ)
- 会議発表等
- Data Collaboration for Distributed Data Analytic Infrastructure
Sakurai Tetsuya
The 6th Japan-U.S. Digital Innovation Hub Workshop: Alliance for the Future of Digital Science/2019-06-11 - Development of an Eigen-Analysis Engine for Large-Scale Simulation and Big Data Analysis
Sakurai Tetsuya
SIAM Conference on Parallel Processing for Scientific Computing (PP20)/2020-02-11--2020-02-16 - A Training Difficulty Schedule for Effective Search of Meta-Heuristic Design
Jair Pereira Junior; ARANHA CLAUS DE CASTRO; Tetsuya Sak...
World Congress on Computational Intelligence/2020-07-19--2020-07-24 - Empirical Study of Non-Model Shared Data Collaboration Analysis Using Pseudo-data
Nakai Akie; Takahashi Yuta; Imakura Akira; Okada Yukihik...
サービス学会 第8回国内大会/2020-03-12--2020-03-13 - 組織内に分散された共有不能データのデータコラボレーション解析による活用実験
稲葉 弘明; 今倉 暁; 栗山大輔; 鎮目 進一; 岡田幸彦; 櫻井 鉄也
サービス学会 第8回国内大会/2020-03-12--2020-03-13 - A complex moment-based dimensionality reduction for data analysis
Imakura Akira; Matsuda Momo; Ye Xiucai; Sakurai Tetsuya
2019 Mini-Workshop on Computational Science (MWCS2019)/2019-08-18 - A novel dimensionality reduction method using a complex momnet-based subspace
Imakura Akira; Sakurai Tetsuya
International Congress on Industrial and Applied Mathematics (ICIAM2019)/2019-07-15 - Nonlinear semi-NMF based method for deep neural network computations and its improvements
Imakura Akira; Sakurai Tetsuya
International Congress on Industrial and Applied Mathematics (ICIAM2019)/2019-07-15 - A complex moment-based spectral method for detecting anomalous structures in large graphs
Sakurai Tetsuya; Funamura Yasunori; Ye Xiucai; Imakura A...
International Congress on Industrial and Applied Mathematics (ICIAM2019)/2019-07-15 - 複素モーメント型部分空間を用いた教師あり次元削減法の提案
今倉 暁; 松田萌望; 叶 秀彩; 櫻井鉄也
日本応用数理学会 第15回 研究部会連合発表会/2019-03-04--2019-03-05 - 複素モーメント型教師あり次元削減法
今倉 暁; 松田萌望; 叶 秀彩; 櫻井鉄也
日本応用数理学会 2018年度 年会/2018-09-03--2018-09-05 - 最小二乗確率的分類器を用いた多峰性のあるデータに対する特異点検出
与田裕之; 今倉暁; 松田萌望; 叶 秀彩; 櫻井鉄也
第48回数値解析シンポジウム（NAS2019）/2019-06-10--2019-06-12 - Distributed Collaborative Feature Selection Based on Intermediate Representation
Ye Xiucai; Li Hongmin; Akira Imakura; Sakurai Tetsuya
28th International Joint Conference on Artificial Intelligence (IJCAI-19)/2019-08-10--2019-08-16 - Matrix Computation-based Approach for Large-scale Simulation and Data Analysis
Sakurai Tetsuya
HPDA Forum 2018 Multidisciplinary High Performance Data Analysis for Societal Challenges/2018-06-18--2018-06-19 - Matrix Computation-based Approach for Large-scale Simulation and Data Analysis
Sakurai Tetsuya
2018 International Conference on Medical and Health Informatics/2018-06-08--2018-06-10 - MOEA/D-RAD Resource Allocation by Diversity
Lavinas Yuri; Aranha Claus de Castro; Ladeira Marcelo; Sa...
進化計算シンポジウム2018/2018-12-08--2018-12-09 - Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects
Alvermann Andreas; Basermann Achim; Bungartz Hans-Joac...
International Workshop on Eigenvalue Problems - Algorithms; Software and Applications, in Petascale Computing (EPASA)/2018-03-05--2018-03-06 - A complex moment-based method and its improvement for computing partial singular value decomposition
Imakura Akira; Sakurai Tetsuya
The 37th JSST Annual International Conference on Simulation Technology (JSST2018)/2018-09-18--2018-09-20 - Time-efficient tensor reordering procedures for HOTRG in distributed parallel environment
Yamada Haruka; Imakura Akira; Imamura Toshiyuki; Sakurai ...
Tensor Network States: Algorithms and Applications (TNSAA)/2018-12-03--2018-12-06 - Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction
Imakura Akira; Matsuda Momo; Ye Xiucai; Sakurai Tetsuya
33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence/2019-01-28--2019-02-01 - A contour intergral-based stochastic estimator for eigenvalue counts of generalized eigenproblems
Futamura Yasunori; Yano Takahiro; Imakura Akira; Sakurai ...
SIAM Conference on Computational Science and Engineering (CSE19)/2019-02-25--2019-03-01 - Ensemble Feature Learning to Identify Risk Factors for Predicting Secondary Cancer
Ye Xiucai; Li Hongmin; Sakurai Tetsuya; Shueng Pei-Wei
International Conference on Medical and Health Informatics (ICMHI2019)/2019-05-17--2019-05-19 - Spectral Anomaly Detection in Large Graphs Using a Complex Moment-based Eigenvalue Solver
Futamura Yasunori; Ye Xiucai; Imakura Akira; Sakurai Tet...
2019 International Workshop on Cyber-Physical Systems and Cyber-Resilience/2019-03-20--2019-03-20 - Spectral Clustering with Adaptive Similarity Measure in Kernel Space
Ye Xiucai; Sakurai Tetsuya
International Conference on Soft Computing and Machine Learning (SCML2019)/2019-04-26--2019-04-29 - Experimental Analysis of the Tournament Size on Genetic Algorithms
Lavinas Yuri; Aranha Claus de Castro; Sakurai Tetsuya; La...
2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC)/2018-10-7--2018-10-10 - さらに表示...
- Data Collaboration for Distributed Data Analytic Infrastructure