Imakura Akira

Researcher's full information

Conference, etc.
  • Accuracy and Privacy Evaluations of Collaborative Data Analysis
    Imakura Akira; Bogdanova Anna; Yamazoe Takaya; Omote Kaz...
    The Second AAAI Workshop on Privacy-Preserving Artificial Intelligence (PPAI-21)/2021-02-08--2021-02-09
  • On the Residual Gap of Block Lanczos-Type Methods and Its Remedy by Cross-Interactive Residual Smoothing
    Aihara K.; Imakura A.; Morikuni K.
    SIAM Conference on Applied Linear Algebra (LA21)/2021-05-17--2021-05-23
  • Complex Moment-Based Methods for Differential Eigenvalue Problems
    Imakura A.; Morikuni K.; Takayasu A.
    SIAM Conference on Applied Linear Algebra (LA21)/2021-05-17--2021-05-23
  • Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace
    Yano Takahiro; Futamura Yasunori; Imakura Akira; Sakurai ...
    The International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2021)/2021-01-20--2021-01-22
  • Verifying eigenvalues of generalized Hermitian eigenproblems using contour integrals
    Imakura A.; Morikuni K.; Takayasu A.
    Second Workshop on Numerical Algebra, Algorithms and Analysis, online/2021-03-16--2021-03-17
  • 複数右辺ベクトルを持つ線形方程式に対するblock generalized CGS法
    今倉 暁; 相原 研輔; 保國 惠一
    日本応用数理学会 第17回研究部会連合発表会, オンライン/2021-03-04--2021-03-05
  • Sylvester方程式に対するglobal Krylov部分空間法のresidual gap評価とその改善
    相原 研輔; 今倉 暁; 保國 惠一
    日本応用数理学会 第17回研究部会連合発表会, オンライン/2021-03-04--2021-03-05
  • Ensemble Learning for Spectral Clustering
    Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
    IEEE International Conference on Data Mining (ICDM 2020)/2020-11-17--2020-11-20
  • 漸化式に着目したblock Krylov部分空間法のresidual gap評価と残差スムージング
    相原 研輔; 今倉 暁; 保國 惠一
    日本応用数理学会「行列・固有値問題の解法とその応用」研究部会 第30回研究会, オンライン/2020-12-07--2020-12-07
  • Novelty Detection in Multimodal Datasets Based on Least Square Probabilistic Analysis
    Yoda Hiroyuki; Akira Imakura; Momo Matsuda; Ye Xiucai; Sa...
    12th International Conference on Machine Learning and Computing/2020-06-19--2020-06-21
  • Hubness-Based Sampling Method For Nystrom Spectral Clustering
    Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
    2020 International Joint Conference on Neural Networks (IJCNN 2020)/2020-07-19--2020-07-24
  • Distributed Feature Selection by Collaborative Data Analysis
    Ye Xiucai; Li Hongmin; Imakura Akira; Sakurai Tetsuya
    12th International Conference on Machine Learning and Computing/2020-06-19--2020-06-21
  • Bin-picking of Randomly Piled Shiny Industrial Objects Using Light Transport Matrix Estimation
    Chiba Naoya; Li Mingyu; Imakura Akira; Hashimoto Koichi
    The 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO2019)/2019-12-06--2019-12-08
  • Fast ADMM l1 minimization by applying SMW formula and multi-row simultaneous estimation for Light Transport Matrix acquisition
    Chiba Naoya; Imakura Akira; Hashimoto Koichi
    The 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO2019)/2019-12-06--2019-12-08
  • Empirical Study of Non-Model Shared Data Collaboration Analysis Using Pseudo-data
    Nakai Akie; Takahashi Yuta; Imakura Akira; Okada Yukihik...
    サービス学会 第8回国内大会/2020-03-12--2020-03-13
  • 組織内に分散された共有不能データのデータコラボレーション解析による活用実験
    稲葉 弘明; 今倉 暁; 栗山大輔; 鎮目 進一; 岡田幸彦; 櫻井 鉄也
    サービス学会 第8回国内大会/2020-03-12--2020-03-13
  • 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
  • more...