櫻井 鉄也(サクライ テツヤ)

研究者情報全体を表示

論文

• 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
  
  Tsukuba Repository
• 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...
  進化計算シンポジウム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
• 周回積分法を用いた電極の自己エネルギーの計算方法の提案と第一原理伝導計算への応用
  岩瀬 滋; 二村 保徳; 今倉 暁; 櫻井 鉄也; 塚本 茂; 小野 倫也
  日本物理学会講演概要集/73/pp.2680-2680, 2018
  
  CiNii
• 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
  
  PubMed Tsukuba Repository
• 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
• 複数右辺ベクトルを持つシフト線形方程式に対する多項式前処理の有効性の検証
  関川 悠太; 二村 保徳; 今倉 暁; 櫻井 鉄也
  日本応用数理学会論文誌/29(1)/pp.141-164, 2019-03
  
  CiNii Tsukuba Repository
• 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
  
  CiNii Tsukuba Repository
• 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
  
  Tsukuba Repository
• 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
• Large Scale Spectral Clustering Using Sparse Representation Based on Hubness
  Ye Xiucai; Li Hongmin; Sakurai Tetsuya; Liu Zhi
  Proceeding of the IEEE International Conference on Cloud and Big Data Computing, 2018-10
• Unsupervised Feature Selection for Microarray Gene Expression Data Based on Discriminative Structure Learning
  Ye Xiucai; Sakurai Tetsuya
  Journal of Universal Computer Science/24(6)/pp.725-741, 2018-06
• Spectral Clustering with Adaptive Similarity Measure in Kernel Space
  Ye Xiucai; Sakurai Tetsuya
  Intelligent Data Analysis/22(4)/pp.751-765, 2018-06
• Efficient and Scalable Calculation of Complex Band Structure using Sakurai-Sugiura Method
  Iwase Shigeru; Futamura Yasunori; Imakura Akira; Sakurai ...
  Proc. of The International Conference for High Performance Computing, Networking, Storage and Analysis (SC'17), 2017-11
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