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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] | 2023-11-17 14:50 |
Kumamoto | Civic Auditorium Sears Home Yume Hall (Primary: On-site, Secondary: Online) |
Hardware Compression Method Applying Bernoulli Approximation for Bayesian Neural Networks Taisei Saito, Kota Ando, Tetsuya Asai (Hokkaido Univ.)  VLD2023-73 ICD2023-81 DC2023-80 RECONF2023-76 |
This study focuses on efficiently lightweighting Bayesian deep learning algorithms and implementing them on FPGA. It com... [more] | VLD2023-73 ICD2023-81 DC2023-80 RECONF2023-76 pp.221-226 |
| CCS, IN (Joint) |
2023-08-03 10:33 |
Hokkaido | Banya-no-yu | A Study of Memory Reduction Methods for Hardware Implementation of Reservoir Computing Sena Kojima, Koki Minagawa, Taisei Saito, Kota Ando, Tetsuya Asai (Hokkaido Univ.) CCS2023-18 |
[more] | CCS2023-18 pp.7-12 |
| CCS, IN (Joint) |
2023-08-03 10:51 |
Hokkaido | Banya-no-yu | Preprocessing Study for Detecting Out-of-Distribution Image Data with Bayesian Neural Network Koki Minagawa, Taisei Saito, Sena Kojima, Tetsuya Asai (Hokkaido Univ.) CCS2023-19 |
Out-of-distribution (OOD) data ditection is a critical issue in ensuring the security of machine learning models. In th... [more] |
CCS2023-19 pp.13-18 |
| CCS | 2023-03-26 10:35 |
Hokkaido | RUSUTSU RESORT | Acquisition of physical kinetics of machines by reservoir computing Sena Kojima, Koki Minagawa, Taisei Saito, Tetsuya Asai (Hokkaido Univ.) CCS2022-67 |
This report focuses on an anomaly detection application of a machine’s dynamical system using reservoir computing. We pr... [more] | CCS2022-67 pp.25-30 |
| CCS | 2023-03-26 13:15 |
Hokkaido | RUSUTSU RESORT | Classification performance evaluation of untrained and trained data in Bayesian neural network and CNN ensemble Koki Minagawa, Taisei Saito, Sena Kojima, Tetsuya Asai (Hokkaido Univ.) CCS2022-71 |
The ditection of untrained (Out-of-Distribution; OOD) data is one of the problems in neural networks. In this study, we... [more] |
CCS2022-71 pp.48-53 |
| CCS | 2022-03-27 14:15 |
Hokkaido | RUSUTSU RESORT HOTEL & CONVENTION (Primary: On-site, Secondary: Online) |
A novel method of hidden-area generation with generative adversarial networks in diminished reality Taisei Saito, Tetsuya Asai (Hokkaido Univ.) CCS2021-45 |
[more] | CCS2021-45 pp.54-59 |
| RCS, NS (Joint) |
2018-12-20 11:20 |
Hiroshima | Onomichi City Hall | Considerations on Computational Complexity Reduction of Receive Weight Matrices in MIMO SC-FDE Kensei Saito, Yasutaka Ogawa, Toshihiko Nishimura, Takeo Ohgane, Junichiro Hagiwara (Hokkaido Univ.) RCS2018-220 |
[more] | RCS2018-220 pp.25-30 |
| RCS | 2018-06-22 16:30 |
Nagasaki | Nagasaki University | Considerations on Computational Complexity Reduction of Receive Weight Matrices in Massive MIMO SC-FDE Kensei Saito, Yasutaka Ogawa, Toshihiko Nishimura, Takeo Ohgane, Junichiro Hagiwara (Hokkaido Univ.) RCS2018-79 |
[more] | RCS2018-79 pp.261-266 |
| RCS, NS (Joint) |
2017-12-15 15:35 |
Hiroshima | Aster Plaza | Considerations on Computational Complexity Reduction Using Receive Matrix Interpolation in a MIMO SC-FDE System Kensei Saito, Yasutaka Ogawa, Toshihiko Nishimura, Takeo Ohgane (Hokkaido Univ.) RCS2017-268 |
[more] | RCS2017-268 pp.101-106 |
| RCS | 2017-06-22 11:20 |
Okinawa | Ishigaki Shoukou Kaikan | Fundamental Considerations on Computational Complexity Reduction Using Receive Matrix Interpolation in a MIMO-OFDM System Kensei Saito, Yasutaka Ogawa, Toshihiko Nishimura, Takeo Ohgane (Hokkaido Univ.) RCS2017-70 |
In multiple-input multiple-output (MIMO) systems, separation of multiple streams is often performed by multiplying a wei... [more] | RCS2017-70 pp.121-126 |
| SWIM | 2008-05-23 13:10 |
Tokyo | Kikai-Shinko-Kaikan Bldg | [Keynote Address]
Information systems development methodology and apply effect by repository and CASE tools Sei Saito, Kiyoharu Ogawa (Tansei Business) SWIM2008-1 |
[more] | SWIM2008-1 pp.1-6 |
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