Sakurai Tetsuya

Researcher's full information

Conference, etc.

• 人を支援するAIと解析エンジン開発
  櫻井 鉄也
  日本臨床分子医学会/2018-04-13--2018-04-14
• Unsupervised Feature Selection by Data Structure Learning
  Ye Xiucai; Sakurai Tetsuya
  11th International Conference on Machine Learning and Computing/2019-2-22--2019-2-24
• Experimental Analysis of the Tournament Size on Genetic Algorithms
  Lavinas Yuri; Aranha Claus; Sakurai Tetsuya; Ladeira ...
  IEEE International Conference on Systems, Man, and Cybernetics (SMC)/2018-10-07--2018-10-10
• Structure-Preserving Technique in the Block SS-Hankel Method for Solving Hermitian Generalized Eigenvalue Problems
  Imakura Akira; Futamura Yasunori; Sakurai Tetsuya
  12th International Conference on Parallel Processing and Applied Mathematics (PPAM)/2017-09-10--2017-09-13
• Large Scale Spectral Clustering Using Sparse Representation Based on Hubness
  Ye Xiucai; Li Hongmin; Sakurai Tetsuya; Liu Zhi
  IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)/2018-10-08--2018-10-12
• Memory-Saving Technique for the Sakurai-Sugiura Eigenvalue Solver Using the Shifted Block Conjugate Gradient Method
  Futamura Yasunori; Sakurai Tetsuya
  2nd International Workshop on Eigenvalue Problems - Algorithms, Software and Applications in Petascale Computing (EPASA)/2015-09-14--2015-09-16
• Eigenspectrum Calculation of the O(a)-Improved Wilson-Dirac Operator in Lattice QCD Using the Sakurai-Sugiura Method
  Suno Hiroya; Nakamura Yoshifumi; Ishikawa Ken-Ichi; Ku...
  2nd International Workshop on Eigenvalue Problems - Algorithms, Software and Applications in Petascale Computing (EPASA)/2015-09-14--2015-09-16
• Numerical Integral Eigensolver for a Ring Region on the Complex Plane
  Maeda Yasuyuki; Sakurai Tetsuya; Charles James; Povolo...
  2nd International Workshop on Eigenvalue Problems - Algorithms, Software and Applications in Petascale Computing (EPASA)/2015-09-14--2015-09-16
• スペクトラル特徴量スケーリングの多クラス分類問題への拡張
  松田 萌望; 保國 惠一; 今倉 暁; 櫻井 鉄也
  日本応用数理学会2018年度年会, 名古屋/2018-09-03--2018-09-05
• Network organization of cortical neurons across waking and sleep in naturally behaving mice
  大山 薫 (Ohyama K.); Morikuni K. (保國 惠一); Matsumoto S. (松本 ...
  The 42th Annual Meeting of the Japan Neuroscience Society, Kobe, Japan/2018-07-26--2018-07-29
• Overview of ESSEX-II - Equipping Sparse Solvers for Exascale -
  Sakurai Tetsuya
  SPPEXA Workshop Japan 2017/2017-04-06
• Development of a Scalable Parallel Eigensolver for Large-scale Simulations and Data Analysis
  Sakurai Tetsuya
  SPPEXA Workshop Parallel Programming Models/2017-10-18
• Development of a Hierarchical Parallel Solver for Nonlinear Eigenvalue Problems
  Sakurai Tetsuya
  JST/CREST International Symposium on Post Petascale System Software/2017-12-12
• Development of an Eigen-analysis Engine for Large-scale Simulation and Data Analysis
  Sakurai Tetsuya
  2nd International Symposium on Research and Education of Computational Science (RECS)/2017-12-19
• Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning
  Ye Xiucai; Sakurai Tetsuya
  1st International Conference on Medical and Health Informatics (ICMHI)/2017-05-20--2017-05-22
• Spectral feature scaling method for supervised dimensionality reduction
  Matsuda M.; Morikuni K.; Sakurai T.
  Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18), Stockholm, Sweden/2018-07-13--2018-07-19
• Recent Advances on the Algorithm-based Fault Tolerance of the Sakurai-Sugiura Eigensolver
  Futamura Yasunori; Imakura AKira; Sakurai Tetsuya
  18th SIAM Conference on Parallel Processing for Scientific Computing (SIAM PP18)/2018-03-07--2018-03-10
• Symmetry-preserving of the Hankel-type Sakurai-Sugiura eigenvalue solver for large sparse Hermitian definite generalized eigenvalue problem
  Futamura Yasunori; Imakura Akira; Sakurai Tetsuya
  10th International Workshop on Parallel Matrix Algorithms and Applications (PMAA18)/2018-06-27--2018-06-29
• Spectral clustering and discriminant analysis for unsupervised feature selection
  Ye Xiucai; Sakurai Tetsuya
  International Workshop on Eigenvalue Problems: Algorithms; Software and Applications, in Petascale Computing/2018-03-05--2018-03-06
• Spectral Clustering and Discriminant Analysis for Unsupervised Feature Selection
  Ye Xiucai; Ji Kaiyang; Sakurai Tetsuya
  TIAかけはしポスター交流会/2016-08-30--2016-08-30
• Spectral Clustering Using Robust Similarity Measure Based on Closeness of Shared Nearest Neighbors
  Ye Xiucai; Sakurai Tetsuya
  International Joint Conference on Neural Networks/2015-07-12--2015-07-17
• Unsupervised Feature Selection with Correlation and Individuality Analysis
  Ye Xiucai; Ji Kaiyang; Sakurai Tetsuya
  International Conference on Machine Learning and Computing/2016-02-22--2016-02-23
• Global Discriminant Analysis for Unsupervised Feature Selection with Local Structure Preservation
  Ye Xiucai; Ji Kaiyang; Sakurai Tetsuya
  29th Florida Artificial Intelligence Research Society Conference/2016-05-16--2016-05-18
• Similarity Measure Based on Adaptive Neighbors for Spectral Clustering
  Ye Xiucai; Sakurai Tetsuya
  International Conference on Machine Learning and Computing/2017-02-24--2017-02-26
• Unsupervised Feature Learning for Gene Selection in Microarray Data Analysis
  Ye Xiucai; Sakurai Tetsuya
  International Conference on Medical and Health Informatics (ICMHI 2017)/2017-05-20--2017-05-22
• more...