IMAKURA Akira

Researcher's full information

Articles

• 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
• 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
• 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
• Verified partial eigenvalue computations using contour integrals for Hermitian generalized eigenproblems
  Imakura A.; Morikuni K.; Takayasu A.
  Journal of Computational and Applied Mathematics/369(1), 2019-10
• 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
• Efficient variants of the CMRH method for solving a sequence of multi-shifted non-Hermitian linear systems simultaneously
  Gu Xian-Ming; Huang Ting-Zhu; Carpentieri Bruno; Imakura ...
  Journal of Computational and Applied Mathematics/375, 2020
• 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 K.; Imakura A.; Ye X.; Sakurai T.
  arXiv:1910.07174 [cs.LG]/pp.1-16, 2019-10
• 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
• Efficient implementations of the modified Gram-Schmidt orthogonalization with a non-standard inner product
  Imakura Akira; Yamamoto Yusaku
  Japan Journal of Industrial and Applied Mathematics/36(2)/pp.619-641, 2019-04
• Simultaneous Band Reduction of Two Symmetric Matrices
  LeiDu; Imakura Akira; Sakurai Tetsuya
  Computers and Mathematics with Applications/77(8)/pp.2207-2220, 2019-04
• Bin-picking of Randomly Piled Shiny Industrial Objects Using Light Transport Matrix Estimation
  Chiba Naoya; Li Mingyu; Imakura Akira; Hashimoto Koichi
  2019 IEEE International Conference on Robotics and Biomimetics (ROBIO)/pp.7-13, 2019
• Verified partial eigenvalue computations for Hermitian generalized eigenproblems using contour integrals
  Imakura A.; Morikuni K.; Takayasu A.
  arXiv:1904.06277 [math.NA]/pp.1-13, 2019-04
• Simultaneous band reduction of two symmetric matrices
  Du Lei; Imakura Akira; Sakurai Tetsuya
  COMPUTERS & MATHEMATICS WITH APPLICATIONS/77(8)/pp.2207-2220, 2019-04
• Fast ADMM l1 minimization by applying SMW formula and multi-row simultaneous estimation for Light Transport Matrix acquisition
  Chiba Naoya; Imakura Akira; Hashimoto Koichi
  2019 IEEE International Conference on Robotics and Biomimetics (ROBIO)/pp.14-21, 2019
• 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
• Minimal residual-like condition with collinearity for shifted Krylov subspace methods
  Imakura Akira
  Japan Journal of Industrial and Applied Mathematics/36(2)/pp.643-661, 2019-04
• Polynomial Preconditioner for Linear Systems with Multiple Right-Hand Sides and Multiple Shifts
  関川 悠太; 二村 保徳; 今倉 暁; 櫻井 鉄也
  Transactions of the Japan Society for Industrial and Applied Mathematics/29(1)/pp.141-164, 2019-03
  
  CiNii 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
• 一般化エルミート固有値問題の周回積分型精度保証付き部分固有値計算
  今倉 暁; 保國 惠一; 高安 亮紀
  日本応用数理学会2018年度年会 予稿集/pp.189-190, 2018-09
• A Look-Back-type restart for the restarted Krylov subspace methods for solving non-Hermitian linear systems
  Imakura Akira; Sogabe Tomohiro; Zhang Shao-Liang
  JAPAN JOURNAL OF INDUSTRIAL AND APPLIED MATHEMATICS/35(2)/pp.835-859, 2018-07
• 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
• Verified Partial Eigenvalue Computation for Generalized Hermitian Eigenproblems Using Contour Integrals
  今倉 暁 (Imakura A.); 保國 惠一 (Morikuni K.); 高安 亮紀 (Takayasu A.)
  Book of Abstracts, 47th Numerical Analysis Symposium (NAS2018)/pp.1-4, 2018-06
• 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
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