今倉暁 (Akira Imakura) - 論文

Multiclass spectral feature scaling method for dimensionality reduction

Matsuda, M, Morikuni, Keiichi, Imakura, A, Ye, X, Sakurai, T

Intelligent Data Analysis 24(6) 1273 - 1287 2020年12月査読有り

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) (accepted) 2020年7月査読有り

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年6月査読有り

Spectral anomaly detection in large graphs using a complex moment-based eigenvalue solver

Futamura, Yasunori, Ye, Xiucai, Imakura, Akira, Sakurai, Tetsuya

ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering 6(2) 2020年6月査読有り

Verified partial eigenvalue computations using contour integrals for Hermitian generalized eigenproblems

Imakura, A, Morikuni, K, Takayasu, A

Journal of Computational and Applied Mathematics, in press 369(1) 2020年5月査読有り

Novelty Detection in Multimodal Datasets Based on Least Square Probabilistic Analysis

Yoda, Hiroyuki, Imakura, Akira, Matsuda, Momo, Ye, Xiucai, Tetsuya, Sakurai

International Journal of Machine Learning and Computing (IJMLC) 2020年2月査読有り

An Oversampling Framework for Imbalanced Classification Based on Laplacian Eigenmaps

Ye, Xiucai, Li, Hongmin, Imakura, Akira, Sakurai, Tetsuya

Neurocomputing 399 107 - 116 2020年2月査読有り

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) (accepted) 2020年査読有り

Ensemble Learning for Spectral Clustering

Li, Hongmin, Ye, Xiucai, Imakura, Akira, Sakurai, Tetsuya

Proceeding of the 20th IEEE International Conference on Data Mining (ICDM2020) (accepted) 2020年査読有り

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, Akira, Zhang, Ke, Du, Lei

Journal of Computational and Applied Mathematics 375 2020年査読有り

Multiclass spectral feature scaling method for dimensionality reduction

Matsuda, M, Morikuni, K, Imakura, A, Ye, X, Sakurai, T

arXiv:1910.07174 [cs.LG] 1 - 16 2019年10月

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) 4142 - 4149 2019年8月査読有り

Scalable Eigen-analysis engine for large-scale eigenvalue problems,

Sakurai, Tetsuya, Futamura, Yasunori, Imakura, Akira

Advanced Software Technologies for Post-Peta Scale Computing 37 - 57 2019年6月査読有り

Verified partial eigenvalue computations for Hermitian generalized eigenproblems using contour integrals

Imakura, A, Morikuni, K, Takayasu, A

arXiv:1904.06277 [math.NA] 1 - 13 2019年4月

Simultaneous band reduction of two symmetric matrices

Du, Lei, Imakura, Akira, Sakurai, Tetsuya

COMPUTERS & MATHEMATICS WITH APPLICATIONS 77(8) 2207 - 2220 2019年4月査読有り

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

Alvermann, Andreas, Basermann, Achim, Bungartz, Hans-Joachim, Carbogno, Christian, Ernst, Dominik, Fehske, Holger, Futamura, Yasunori, Galgon, Martin, Hager, Georg, Huber, Sarah, Huckle, Thomas, Ida, Akihiro, Imakura, Akira, Kawai, Masatoshi, Köcher, Simone, Kreutzer, Moritz, Kus, Pavel, Lang, Bruno, Lederer, Hermann, Manin, Valeriy, Marek, Andreas, Nakajima, Kengo, Nemec, Lydia, Reuter, Karsten, Rippl, Michael, Röhrig-Zölln, Melven, Sakurai, Tetsuya, Scheffler, Matthias, Scheurer, Christoph, Shahzad, Faisal, Brambila, Danil

Japan Journal of Industrial and Applied Mathematics 36(2) 699 - 717 2019年4月査読有り

Minimal residual-like condition with collinearity for shifted Krylov subspace methods

Imakura,Akira

Japan Journal of Industrial and Applied Mathematics 36(2) 643 - 661 2019年4月査読有り

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) 619 - 641 2019年4月査読有り

Simultaneous Band Reduction of Two Symmetric Matrices

LeiDu, Imakura, Akira, Sakurai, Tetsuya

Computers and Mathematics with Applications 77(8) 2207 - 2220 2019年4月査読有り

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