櫻井 鉄也(サクライ テツヤ)
- 論文
- 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 - 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 - 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 - 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 - 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 - Contour integral method for obtaining the self-energy matrices of electrodes in electron transport calculations
Iwase Shigeru; Futamura Yasunori; Imakura Akira; Sakur...
PHYSICAL REVIEW B/97(19)/p.195449, 2018-05 - Fully Convolutional Network を用いた インフラ点検におけるひび割れの自動検出
木村宇任; ARANHA CLAUS DE CASTRO; 櫻井鉄也
情報処理学会論文誌 数理モデル化と応用/11(1)/pp.12-20, 2018-03 - 多クラス分類問題に対する スペクトラル特徴量スケーリング
松田 萌望 (Matsuda M.); 保國 惠一 (Morikuni K.); 櫻井 鉄也 (Sakurai T.)
第47回数値解析シンポジウム 講演予稿集/pp.31-34, 2018-06 - Spectral feature scaling method for supervised dimensionality reduction
Matsuda M.; Morikuni K.; Sakurai T.
arXiv:1805.07006 [stat.ML]/pp.1-11, 2018-05 - Block SS-CAA: A complex moment-based parallel nonlinear eigensolver using the block communication-avoiding Arnoldi procedure
Imakura Akira; Sakurai Tetsuya
PARALLEL COMPUTING/74(SI)/pp.34-48, 2018-05 - Unsupervised Feature Learning for Gene Selection in Microarray Data Analysis
Ye Xiucai; Sakurai Tetsuya
Proceeding of the International Conference on Medical and Health Informatics (ICMHI)/pp.101-106, 2017-05 - さらに表示...
- MOEA/D-RAD Resource Allocation by Diversity