Akira Imakura
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
14
Venues
12
Active years
2016–2022
Best venue rank
A*
Where they publish
Papers
14 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2022 | CIS | A study of the privacy perspective on principal component analysis via a realistic attack model. | Hiromi Yamashiro, Kazumasa Omote, Akira Imakura, Tetsuya Sakurai |
| 2022 | CVPR | Fast Algorithm for Low-rank Tensor Completion in Delay-embedded Space. | Ryuki Yamamoto, Hidekata Hontani, Akira Imakura, Tatsuya Yokota |
| 2022 | DASC | mdx: A Cloud Platform for Supporting Data Science and Cross-Disciplinary Research Collaborations. | Toyotaro Suzumura, Akiyoshi Sugiki, Hiroyuki Takizawa, Akira Imakura, Hiroshi Nakamura, Kenjiro Taura, Tomohiro Kudoh, Toshihiro Hanawa, Yuji Sekiya, Hill Hiroki Kobayashi, Yohei Kuga, Ryo Nakamura, Renhe Jiang, Junya Kawase, Masatoshi Hanai, Hiroshi Miyazaki, Tsutomu Ishizaki, Daisuk Shimotoku, Daisuke Miyamoto, Kento Aida, Atsuko Takefusa, Takashi Kurimoto, Koji Sasayama, Naoya Kitagawa, Ikki Fujiwara, Yusuke Tanimura, Takayuki Aoki, Toshio Endo, Satoshi Ohshima, Keiichiro Fukazawa, Susumu Date, Toshihiro Uchibayashi |
| 2021 | ACML | Collaborative Novelty Detection for Distributed Data by a Probabilistic Method. | Akira Imakura, Xiucai Ye, Tetsuya Sakurai |
| 2021 | IJCNN | Spectral Clustering Joint Deep Embedding Learning by Autoencoder. | Xiucai Ye, Chunhao Wang, Akira Imakura, Tetsuya Sakurai |
| 2020 | ICDM | Ensemble Learning for Spectral Clustering. | Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai |
| 2020 | IJCNN | Hubness-based Sampling Method for Nystrm Spectral Clustering. | Hongmin Li, Xiucai Ye, Akira Imakura, Tetsuya Sakurai |
| 2020 | PKAW | Accelerating the Backpropagation Algorithm by Using NMF-Based Method on Deep Neural Networks. | Suhyeon Baek, Akira Imakura, Tetsuya Sakurai, Ichiro Kataoka |
| 2020 | PKAW | Collaborative Data Analysis: Non-model Sharing-Type Machine Learning for Distributed Data. | Akira Imakura, Xiucai Ye, Tetsuya Sakurai |
| 2019 | AAAI | Complex Moment-Based Supervised Eigenmap for Dimensionality Reduction. | Akira Imakura, Momo Matsuda, Xiucai Ye, Tetsuya Sakurai |
| 2019 | IJCAI | Distributed Collaborative Feature Selection Based on Intermediate Representation. | Xiucai Ye, Hongmin Li, Akira Imakura, Tetsuya Sakurai |
| 2017 | PPAM | Structure-Preserving Technique in the Block SS-Hankel Method for Solving Hermitian Generalized Eigenvalue Problems. | Akira Imakura, Yasunori Futamura, Tetsuya Sakurai |
| 2017 | SC | Efficient and scalable calculation of complex band structure using Sakurai-Sugiura method. | Shigeru Iwase, Yasunori Futamura, Akira Imakura, Tetsuya Sakurai, Tomoya Ono |
| 2016 | ICONIP | Alternating Optimization Method Based on Nonnegative Matrix Factorizations for Deep Neural Networks. | Tetsuya Sakurai, Akira Imakura, Yuto Inoue, Yasunori Futamura |