今倉 暁(イマクラ アキラ)

研究者情報全体を表示

会議発表等
  • Efficient Implementations of the Modified Gram-Schmidt Orthogonalization in a Non-Standard Inner Product
    Yamamoto Yusaku; Imakura Akira
    The 13th workshop in the series of the "Parallel Numerics" (ParNum 2019)/2019-10-28
  • 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
  • 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
  • Minimal residual-like condition with collinearity for shifted Krylov subspace methods
    Imakura Akira
    International Workshop on Eigenvalue Problems - Algorithms; Software and Applications, in Petascale Computing (EPASA)/2018-03-05--2018-03-06
  • Efficient implementations of the modified Gram-Schmidt orthogonalization with a non-standard inner product
    Imakura Akira; Yamamoto Yusaku
    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
  • 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
  • Nonlinear semi-NMF based method for deep neural network computations
    Imakura Akira
    International Symposium on "Digital Science Now"/2019-06-07--2019-06-07
  • Verified computing for partial eigenvalues using a contour integral-type eigensolver
    Takayasu Akitoshi; Imakura Akira; Morikuni Keiichi
    SCAN2018/2018-9-10--2018-9-15
  • Verified partial eigenvalue computation for generalized Hermitian eigenproblems using contour integrals
    今倉暁; 保國 惠一; Takayasu Akitoshi
    第47回数値解析シンポジウム/2018-6-6--2018-6-8
  • 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/2018-9-3--2018-9-5
  • Verified partial eigenvalue computation for generalized Hermitian eigenproblems using contour integrals
    今倉暁; 保國惠一; 高安 亮紀
    第47回数値解析シンポジウム, 福井/2019-06-07--2019-06-07
  • Verified computing for partial eigenvalues using a contour integral-type eigensolver
    Takayasu A.; Imakura A.; Morikuni Keiichi
    18th International Symposium on Scientific Computing, Computer Arithmetic, and Verified Numerical Computations, Tokyo, Japan/2018-09-10--2018-09-15
  • 一般化エルミート固有値問題の部分固有値計算における周回積分に基づく精度保証法の改良
    今倉 暁; 保國 惠一; 高安 亮紀
    日本応用数理学会 第15回研究部会連合発表会, つくば/2019-03-04--2019-03-05
  • 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
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