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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCS, SIP, IT | 2022-01-21 10:55 |
Online | Online | A lossless audio codec based on hierarchical residual prediction Taiyo Mineo, Shouno Hayaru (UEC)  IT2021-71 SIP2021-79 RCS2021-239 |
In this study, we propose a novel lossless audio codec that has precise predictive performance from the neural network a... [more] | IT2021-71 SIP2021-79 RCS2021-239 pp.239-244 |
| MBE, NC (Joint) |
2021-10-28 15:05 |
Online | Online | Enhancement of spatio-temporal coding performance in spiking neural network and its application to hazard detection for landing of spacecrafts Hideaki Kinoshita, Shinichi Kimura (TUS), Seisuke Fukuda (JAXA) NC2021-21 |
Spiking neural networks (SNNs) are a neuromimetic computational architecture that has attracted much attention in recent... [more] | NC2021-21 pp.16-21 |
| IN, CCS (Joint) |
2021-08-05 14:25 |
Online | Online | Digital Implement of 3-layered Neural Networks with Stochastic Activation, Shunting Inhibition, and a Dual-rail Backpropagation Yoshiaki Sasaki, Seiya Muramatsu, Kohei Nishida, Megumi Akai-Kasaya, Tetsuya Asai (Hokkaido Univ.) CCS2021-16 |
Stochastic computing (SC) is an arithmetic technique that enables various operations to be performed with a small number... [more] | CCS2021-16 pp.7-13 |
| CS | 2021-07-16 09:40 |
Online | Online | Joint Transmit Power and Beamforming Control based on Unsupervised Machine Learning for MIMO Wireless Communication Networks Naoto Tamada, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech) CS2021-29 |
In mobile communications, densely deployed cell systems are expected to improve the system capacity drastically. However... [more] | CS2021-29 pp.63-68 |
| RCS | 2021-04-23 09:45 |
Online | Online | Improving Classification Accuracy in Multi-User Communication Environment Information Estimation by Machine Learning Shun Kojima (Utsunomiya Univ.), Yi Feng (Duke Univ.), Kazuki Maruta (Tokyo Tech.), Chang-Jun Ahn (Chiba Univ.), Vahid Tarokh (Duke Univ.) RCS2021-10 |
Recently, due to the increasing demand for wireless data traffic, highly efficient multiple access methods such as OFDMA... [more] | RCS2021-10 pp.42-47 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-03 14:05 |
Online | Online | [Poster Presentation]
A unified source-filter network for neural vocoder Reo Yoneyama, Yi-Chiao Wu, Tomoki Toda (Nagoya Univ.) EA2020-69 SIP2020-100 SP2020-34 |
In this paper, we propose a method to develop a neural vocoder using a single network based on the source-filter theory.... [more] | EA2020-69 SIP2020-100 SP2020-34 pp.57-62 |
| NC, MBE (Joint) |
2021-03-04 14:10 |
Online | Online | What characteristics are acquired in coding self-motion from visual motion?
-- Reconstruction of statistical relationship by neural network and its internal representation -- Daiki Nakamura, Hiroaki Gomi (NTT) NC2020-57 |
Efficient coding is a prevailing computational models of sensory coding in the brain. If the sensory information is tran... [more] | NC2020-57 pp.83-88 |
| IE | 2021-01-21 13:00 |
Online | Online | Comparing Pixel Predictors with Different Coding Order for Lossless Image Coding Aki Kunieda, Keita Takahashi, Toshiaki Fujii (Nagoya Univ.) IE2020-34 |
The efficiency of lossless image coding depends on the pixel predictors, with which unknown pixels are predicted from al... [more] | IE2020-34 pp.1-6 |
| SIP, IT, RCS | 2021-01-21 10:55 |
Online | Online | Performance Evaluation of Convolutional Poalr Code with Neural Network Decoder Riko Maeda (Kagawa Univ.), Satoshi Suyama, Takahiro Asai (NTT DOCOMO), Nobuhiko Miki (Kagawa Univ.) IT2020-67 SIP2020-45 RCS2020-158 |
The Polar code proposed by Arıkan is a code that can achieve a property approaching the Shannon limit under successive c... [more] | IT2020-67 SIP2020-45 RCS2020-158 pp.23-27 |
| MRIS, ITE-MMS | 2020-12-03 16:00 |
Online | Online | A study on iterative decoding using neural network in SMR system Madoka Nishikawa, Yasuaki Nakamura (Ehime Univ.), Yasushi Kanai (NIT), Hisashi Osawa, Yoshihiro Okamoto (Ehime Univ.) MRIS2020-10 |
We study the low-density parity-check (LDPC) coding and iterative decoding system by signal processing for the shingled ... [more] | MRIS2020-10 pp.26-31 |
| MI | 2020-09-03 13:10 |
Online | Online | [Invited Talk]
Manifold modeling in embedded space for image restoration Tatsuya Yokota (Nitech) MI2020-27 |
In this invited talk, I will discuss convolutional neural networks, which have achieved remarkable results in various im... [more] | MI2020-27 pp.43-44 |
| IT | 2020-07-16 11:20 |
Online | Online | User Identification and Channel Estimation by Iterative DNN-Based Decoder on Multiple-Access Fading Channel Lantian Wei, Shan Lu, Hiroshi Kamabe (Gifu Univ.), Jun Cheng (Doshisha Univ.) IT2020-12 |
The user identification scheme for multiple-access fading channel based on the random generated (0,1,-1)-signature code ... [more] | IT2020-12 pp.7-12 |
| RCS | 2020-06-26 14:05 |
Online | Online | Joint Transmit Power and 3-Dimentional Beamforming Control using Neural Networks for MIMO Small Cell Systems Shuaifeng Jiang, Yuyuan Chang, Kazuhiko Fukawa (Tokyo Tech) RCS2020-47 |
A densely deployed small cell system is expected to improve the system capacity of mobile communications. Since the neig... [more] | RCS2020-47 pp.145-150 |
| PRMU, IPSJ-CVIM | 2020-03-16 16:45 |
Kyoto | (Cancelled but technical report was issued) |
Image compression by colorization Hiya Roy, Subhajit Chaudhury, Toshihiko Yamasaki, Tatsuaki Hashimoto (UTokyo) PRMU2019-86 |
Image compression techniques exploit the inherent psycho-visual limitations in human vision to reduce the number of bits... [more] | PRMU2019-86 pp.107-108 |
| ISEC, IT, WBS | 2020-03-10 11:55 |
Hyogo | University of Hyogo (Cancelled but technical report was issued) |
An Improved Learning Method for Weighted-BP using MAP-based Training Data Filtering Ryota Yoshizawa, Kenichiro Furuta, Yuma Yoshinaga, Osamu Torii, Tomoya Kodama (Kioxia) IT2019-101 ISEC2019-97 WBS2019-50 |
Weighted-BP has been proposed so as to compensate the shortcoming of BP decoding of high-density parity-check (HDPC) cod... [more] | IT2019-101 ISEC2019-97 WBS2019-50 pp.73-78 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 14:50 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
A high-compression video coding method for video analysis using Deep Learning Tomonori Kubota, Takanori Nakao, Eiji Yoshida (Fujitsu Lab.) IMQ2019-39 IE2019-121 MVE2019-60 |
In this paper, we propose a high-compression video coding method for video analysis using Deep Learning. The method anal... [more] | IMQ2019-39 IE2019-121 MVE2019-60 pp.121-126 |
| NC, MBE (Joint) |
2020-03-06 09:30 |
Tokyo | University of Electro Communications (Cancelled but technical report was issued) |
Conjunctive Representation of Position and Magnitude in an expansion of Continuous Attractor Networks Jonathan Kar-Sing Lai (UTokyo), Yoko Yamaguchi (KIT/UTokyo/RIKEN CBS) NC2019-104 |
Continuous Attractor Neural Networks are often used as models of working memory where they store information through the... [more] | NC2019-104 pp.163-167 |
| SP, EA, SIP | 2020-03-03 09:00 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
[Poster Presentation]
Decoding of Non-Isochronous Rhythms Imagery from EEG Using Convolutional Neural Network Naoki Yoshimura, Toshihisa Tanaka (TUAT) EA2019-153 SIP2019-155 SP2019-102 |
Rhythm is one element of music, and it is known that rhythm perception and imagery appear in electroencephalogram (EEG).... [more] | EA2019-153 SIP2019-155 SP2019-102 pp.301-306 |
| ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2020-02-27 13:00 |
Hokkaido | Hokkaido Univ. (Cancelled but technical report was issued) |
Video Coding Using Optimal Intra Prediction Mode Estimation by CNN Ryota Yokoyama, Masahiko Tahara (Waseda Univ.), Heming Sun (Waseda Univ./JST), Masaru Takeuchi (Waseda Univ.), Yasutaka Matsuo (NHK), Jiro Katto (Waseda Univ.) ITS2019-33 IE2019-71 |
These days, efficient video coding is required due to spread of video production and viewing, and high definition video.... [more] | ITS2019-33 IE2019-71 pp.171-176 |
| MRIS, ITE-MMS | 2019-12-05 14:00 |
Ehime | Ehime University | A study on iterative decoding using information of magnetic transitions in SMR Madoka Nishikawa, Yasuaki Nakamura (Ehime Univ.), Yasushi Kanai (NIIT), Hisashi Osawa, Yoshihiro Okamoto (Ehime Univ.) MRIS2019-39 |
In our previous research, we focused on a log-likelihood ratio (LLR) computed as the decoding reliability by a posterior... [more] | MRIS2019-39 pp.1-6 |
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