Akira Imakura

发表

An Efficient Variant of the GMRES(m) Method Based on the Error Equations

Tomohiro Sogabe, Akira Imakura, Shao-Liang Zhang, 2012 .

An Auto-Tuning Technique of the Weighted Jacobi-Type Iteration Used for Preconditioners of Krylov Subspace Methods

Tetsuya Sakurai, Akira Imakura, Kohsuke Sumiyoshi, 2012, 2012 IEEE 6th International Symposium on Embedded Multicore SoCs.

Efficient and Scalable Calculation of Complex Band Structure using Sakurai-Sugiura Method

Tetsuya Sakurai, Akira Imakura, Yasunori Futamura, 2017, SC17: International Conference for High Performance Computing, Networking, Storage and Analysis.

Distributed Collaborative Feature Selection Based on Intermediate Representation

Tetsuya Sakurai, Hongmin Li, Akira Imakura, 2019, IJCAI.

A Weighted Block GMRES method for solving linear systems with multiple right-hand sides

Hiroto Tadano, Lei Du, Akira Imakura, 2013, JSIAM Lett..

Simultaneous band reduction of two symmetric matrices

Tetsuya Sakurai, Lei Du, Akira Imakura, 2019, Comput. Math. Appl..

Block Krylov-type complex moment-based eigensolvers for solving generalized eigenvalue problems

Tetsuya Sakurai, Akira Imakura, T. Sakurai, 2017, Numerical Algorithms.

ESSEX: Equipping Sparse Solvers For Exascale

Tetsuya Sakurai, Gerhard Wellein, Holger Fehske, 2020, Software for Exascale Computing.

A block Arnoldi-type contour integral spectral projection method for solving generalized eigenvalue problems

Tetsuya Sakurai, Lei Du, Akira Imakura, 2014, Appl. Math. Lett..

Efficient variants of the CMRH method for solving a sequence of multi-shifted non-Hermitian linear systems simultaneously

Lei Du, Ke Zhang, Ting-Zhu Huang, 2020, J. Comput. Appl. Math..

An Error Resilience Strategy of a Complex Moment-Based Eigensolver

Tetsuya Sakurai, Akira Imakura, Yasunori Futamura, 2015 .

Error bounds of Rayleigh–Ritz type contour integral-based eigensolver for solving generalized eigenvalue problems

Tetsuya Sakurai, Lei Du, Akira Imakura, 2015, Numerical Algorithms.

Structure-Preserving Technique in the Block SS-Hankel Method for Solving Hermitian Generalized Eigenvalue Problems

Tetsuya Sakurai, Akira Imakura, Yasunori Futamura, 2017, PPAM.

Equipping Sparse Solvers for Exascale

Tetsuya Sakurai, Gerhard Wellein, Holger Fehske, 2018 .

Flexible subspace iteration with moments for an effective contour integration‐based eigensolver pdf

Tetsuya Sakurai, Bruno Lang, Akira Imakura, 2020, Numer. Linear Algebra Appl..

Scalable Eigen-Analysis Engine for Large-Scale Eigenvalue Problems

Tetsuya Sakurai, Toshiyuki Imamura, Akira Imakura, 2018, Advanced Software Technologies for Post-Peta Scale Computing.

Spectral Anomaly Detection in Large Graphs Using a Complex Moment-Based Eigenvalue Solver

Tetsuya Sakurai, Akira Imakura, Yasunori Futamura, 2020, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering.

Filter analysis for the stochastic estimation of eigenvalue counts

Tetsuya Sakurai, Akira Imakura, Yasunori Futamura, 2015, JSIAM Lett..

A Look-Back-type restart for the restarted Krylov subspace methods for solving non-Hermitian linear systems

Tomohiro Sogabe, Akira Imakura, Shao-Liang Zhang, 2018 .

An Improvement of the Nonlinear Semi-NMF Based Method by Considering Bias Vectors and Regularization for Deep Neural Networks

Tetsuya Sakurai, Akira Imakura, Ryosuke Arai, 2018 .

Optimization of Reordering Procedures in HOTRG for Distributed Parallel Computing

Tetsuya Sakurai, Toshiyuki Imamura, Akira Imakura, 2018, 2018 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW).

Block SS-CAA: A complex moment-based parallel nonlinear eigensolver using the block communication-avoiding Arnoldi procedure

Tetsuya Sakurai, Akira Imakura, T. Sakurai, 2017, Parallel Comput..

Hubness-based Sampling Method for Nyström Spectral Clustering

Tetsuya Sakurai, Hongmin Li, Akira Imakura, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Special issue: recent progress on iterative methods for large systems of equations

Tetsuya Sakurai, Hua Xiang, Yimin Wei, 2017, Numerical Algorithms.

A parameter optimization technique for a weighted Jacobi-type preconditioner

Tetsuya Sakurai, Akira Imakura, Hideo Matsufuru, 2012, JSIAM Letters.

Data Collaboration Analysis Framework Using Centralization of Individual Intermediate Representations for Distributed Data Sets

Tetsuya Sakurai, Akira Imakura, T. Sakurai, 2020, ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering.

An oversampling framework for imbalanced classification based on Laplacian eigenmaps

Tetsuya Sakurai, Hongmin Li, Akira Imakura, 2020, Neurocomputing.

Interpretable collaborative data analysis on distributed data pdf

Tetsuya Sakurai, Akira Imakura, Yukihiko Okada, 2020, Expert Syst. Appl..

Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks pdf

Tetsuya Sakurai, Akira Imakura, Yasunori Futamura, 2016, ICONIP.

Cost-efficient cutoff method for tensor renormalization group with randomized singular value decomposition

Tetsuya Sakurai, Akira Imakura, Haruka Yamada, 2018, JSIAM Lett..

Fast ADMM ℓ1 minimization by applying SMW formula and multi-row simultaneous estimation for Light Transport Matrix acquisition*

Koichi Hashimoto, Naoya Chiba, Akira Imakura, 2019, 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO).

Improving the numerical stability of the Sakurai-Sugiura method for quadratic eigenvalue problems

Tetsuya Sakurai, Akira Imakura, Françoise Tisseur, 2017, JSIAM Lett..

Improvement of the accuracy of the approximate solution of the Block BiCR method

Hiroto Tadano, Akira Imakura, Youichi Ishikawa, 2014, JSIAM Lett..

Multiclass spectral feature scaling method for dimensionality reduction

Tetsuya Sakurai, Akira Imakura, Xiucai Ye, 2019, Intell. Data Anal..

Parallel Implementation of the Nonlinear Semi-NMF Based Alternating Optimization Method for Deep Neural Networks

Tetsuya Sakurai, Akira Imakura, Yasunori Futamura, 2017, Neural Processing Letters.

Development of the Block BiCGSTAB($\ell$) method for solving linear systems with multiple right hand sides

Hiroto Tadano, Akira Imakura, Shusaku Saito, 2014, JSIAM Lett..

Recovering from accuracy deterioration in the contour integral-based eigensolver

Tetsuya Sakurai, Tetsuya Hasegawa, Akira Imakura, 2016, JSIAM Lett..

Benefits from using mixed precision computations in the ELPA-AEO and ESSEX-II eigensolver projects

Tetsuya Sakurai, Hans-Joachim Bungartz, Gerhard Wellein, 2018, Japan Journal of Industrial and Applied Mathematics.

Data collaboration analysis for distributed datasets pdf

Tetsuya Sakurai, Akira Imakura, T. Sakurai, 2019, ArXiv.

Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction

Tetsuya Sakurai, Akira Imakura, Xiucai Ye, 2019, AAAI.

Improving the convergence behaviour of BiCGSTAB by applying D-norm minimization

Tetsuya Sakurai, Hiroto Tadano, Akira Imakura, 2015, JSIAM Lett..

Bin-picking of Randomly Piled Shiny Industrial Objects Using Light Transport Matrix Estimation*

Koichi Hashimoto, Naoya Chiba, Akira Imakura, 2019, 2019 IEEE International Conference on Robotics and Biomimetics (ROBIO).

Federated Learning System without Model Sharing through Integration of Dimensional Reduced Data Representations pdf

Tetsuya Sakurai, Anna Bogdanova, Akira Imakura, 2020, ArXiv.

Performance evaluation of the Sakurai-Sugiura method with a block Krylov subspace linear solver for large dense Hermitian-definite generalized eigenvalue problems

Tetsuya Sakurai, Akira Imakura, Yasunori Futamura, 2018, JSIAM Lett..

Verified partial eigenvalue computations using contour integrals for Hermitian generalized eigenproblems

Akira Imakura, Akitoshi Takayasu, Keiichi Morikuni, 2020, J. Comput. Appl. Math..

Collaborative Novelty Detection for Distributed Data by a Probabilistic Method

Tetsuya Sakurai, Akira Imakura, Xiucai Ye, 2021, ACML.

LSEC: Large-scale spectral ensemble clustering pdf

Tetsuya Sakurai, Akira Imakura, Xiucai Ye, 2021, Intell. Data Anal..

Spectral Clustering Joint Deep Embedding Learning by Autoencoder

Akira Imakura, Xiucai Ye, Chunhao Wang, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Cross-interactive residual smoothing for global and block Lanczos-type solvers for linear systems with multiple right-hand sides pdf

Kensuke Aihara, Akira Imakura, Keiichi Morikuni, 2021, ArXiv.

Complex moment-based method with nonlinear transformation for computing large and sparse interior singular triplets pdf

Tetsuya Sakurai, Akira Imakura, T. Sakurai, 2021, ArXiv.

Divide-and-conquer based Large-Scale Spectral Clustering pdf

Tetsuya Sakurai, Akira Imakura, Xiucai Ye, 2021, ArXiv.

Decentralized Learning with Virtual Patients for Medical Diagnosis of Diabetes

Tetsuya Sakurai, Akira Imakura, Hanten Chang, 2021, SN Computer Science.

Verified eigenvalue and eigenvector computations using complex moments and the Rayleigh-Ritz procedure for generalized Hermitian eigenvalue problems pdf

Akira Imakura, Akitoshi Takayasu, Keiichi Morikuni, 2021, ArXiv.

Relationships among contour integral-based methods for solving generalized eigenvalue problems

Tetsuya Sakurai, Akira Imakura, Lei Du, 2016 .

Improving backward stability of Sakurai-Sugiura method with balancing technique in polynomial eigenvalue problem

Tetsuya Sakurai, Akira Imakura, Hongjia Chen, 2017, Applications of Mathematics.

Variants of the CMRH method for solving multi-shifted non-Hermitian linear systems

Ting-Zhu Huang, Xian-Ming Gu, Bruno Carpentieri, 2016 .

Three-dimensional Boltzmann-Hydro Code for Core-collapse in Massive Stars. II. The Implementation of Moving-mesh for Neutron Star Kicks

Akira Imakura, Kohsuke Sumiyoshi, Hideo Matsufuru, 2016, 1605.00666.