今倉 暁(イマクラ アキラ)
- 論文
- Spectral Clustering Joint Deep Embedding Learning by Autoencoder
Ye Xiucai; Wang Chunhao; Imakura Akira; Sakurai Tetsuya
Proceeding of the International Joint Conference on Neural Networks (IJCNN 2021)/pp.1-7, 2021-07 - Cross-interactive residual smoothing for global and block Lanczos-type solvers for linear systems with multiple right-hand sides
Aihara K.; Imakura A.; Morikuni K.
arXiv/arXiv:2106.00284 [math.NA]/pp.1-20, 2021-06 - Decentralized learning with virtual patients for medical diagnosis of diabetes.
Yuta Takahashi; Han-ten Chang; Akie Nakai; Rina Kagaw...
SN Computer Science/2(239), 2021-04 - Efficient Implementation of a Dimensionality Reduction Method Using a Complex Moment-Based Subspace
Yano Takahiro; Futamura Yasunori; Imakura Akira; Sakurai ...
Proceedings of HPC Asia 2021: the International Conference on High Performance Computing in Asia-Pacific Region/pp.83-89, 2021-01 - Ensemble Learning for Spectral Clustering
Li Hongmin; Ye Xiucai; Imakura Akira; Sakurai Tetsuya
Proceeding of the 20th IEEE International Conference on Data Mining (ICDM2020)/pp.1094-1099, 2020-11 - Collaborative Data Analysis: Non-Model Sharing-Type Machine Learning for Distributed Data
Imakura Akira; Ye Xiucai; Sakurai Tetsuya
Proceeding of the 2020 Principle and Practice of Data and Knowledge Acquisition Workshop (PKAW2020)/12280/pp.14-19, 2021-2 - 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/pp.141-164, 2019-03 - Scalable Eigen-analysis engine for large-scale eigenvalue problems,
Sakurai Tetsuya; Futamura Yasunori; Imakura Akira
Advanced Software Technologies for Post-Peta Scale Computing/pp.37-57, 2019-06 - 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 - 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 - 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 - さらに表示...
- Spectral Clustering Joint Deep Embedding Learning by Autoencoder