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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP, IT, RCS | 2024-01-18 16:10 |
Miyagi | (Primary: On-site, Secondary: Online) |
A Study on Autoencoder for Iterative Signal Detection in MIMO Channels Yoshinori Ichihashi, Shinsuke Ibi (Doshisha Univ.), Takumi Takahashi (Osaka Univ.), Hisato Iwai (Doshisha Univ.)  IT2023-52 SIP2023-85 RCS2023-227 |
In this paper, we apply deep unfolding to uplink signal detection via probabilistic data association (PDA) and configure... [more] | IT2023-52 SIP2023-85 RCS2023-227 pp.115-120 |
| MICT, MI | 2020-11-04 10:40 |
Online | Online | Base-type identification model for next-generation DNA sequencer using CNN Daisuke Hayashi, Toru Yokoyama, Kiyohiro Obara (Hitachi) MICT2020-10 MI2020-36 |
Next-generation DNA sequencers are expected to grow in the market as their applications in the medical field such as can... [more] | MICT2020-10 MI2020-36 pp.15-20 |
| NLP | 2018-08-08 15:00 |
Kagawa | Saiwai-cho Campus, Kagawa Univ. | Super-Resolution Reconstruction Using Adaptive Nearest Neighbor Interpolation by Iterative Back-Projection Ryuya Ukai, Ryohei Mizutani, Yuki kawai, Teruki Uchida, Hideharu Toda (Chukyo Univ.), Tsuyoshi Otake, Masatoshi Sato (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2018-58 |
The pixel density of display devices are improving, and the importance of the resolution as a criteria to determine the ... [more] | NLP2018-58 pp.31-34 |
| IBISML | 2014-11-18 15:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Basis functions for fast learning of log-linear models Kazuya Takabatake, Shotaro Akaho (AIST) IBISML2014-76 |
We propose basis functions for log-linear models and a fast learning algorithm that works on these bases. These bases a... [more] |
IBISML2014-76 pp.307-312 |
| NC, MBE (Joint) |
2013-07-19 09:30 |
Tokushima | The University of Tokushima | A neuroscientific explanation for the brain's memory system with the cocktail party effect by the iterative learning method
-- A Hebb's learning model for the network system of neurons with the analog-digital operating characteristics -- Miyuki Seino (Seino Information System) NC2013-15 |
This paper describes the cocktail party effect as a phenomenon of the brain’s active memory system by iterative learning... [more] | NC2013-15 pp.1-6 |
| NC, MBE [detail] | 2010-12-19 14:55 |
Aichi | Nagoya Univ. | Motor Command Estimation based on an Inverse Dynamics Model and its Application to Motion Adaptation Masashi Otani, Kouichi Taji, Yoji Uno (Nagoya Univ.) MBE2010-75 NC2010-86 |
It is thought that the human brain has a mechanism called an internal model that works as a feed-forward controller. It ... [more] | MBE2010-75 NC2010-86 pp.115-120 |
| ITE-MMS, MRIS | 2010-10-15 10:00 |
Akita | Akita Research and Development Center | Neural Network Equalization for LDPC Coding and Iterative Decoding System Hisashi Osawa, Masayuki Kawae, Yoshihiro Okamoto, Yasuaki Nakamura (Ehime Univ.), Hiroaki Muraoka (Tohoku Univ.) MR2010-30 |
The neural network equalization for LDPC coding and iterative decoding system in perpendicular magnetic recording is s... [more] |
MR2010-30 pp.51-57 |
| NLP | 2009-11-14 09:35 |
Kagoshima | On the Iterative Learning Schemes in Hypercomplex-Valued Hopfield Neural Networks Teijiro Isokawa, Haruhiko Nishimura, Nobuyuki Matsui (Univ. of Hyogo) NLP2009-114 |
This paper presents two types of learning rules for complex-valued and quaternionic hopfield neural networks. The state... [more] |
NLP2009-114 pp.181-186 |
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