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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| IT | 2019-09-06 10:35 |
Oita | Yufuin Kenshujo, Nippon Bunri University | The Recovery of (0,1)-Vector Based on Deep Neural Network Lantian Wei, Shan Lu, Hiroshi Kamabe (Gifu Univ.) IT2019-28 |
In this paper, we consider the recovery of sparse (0,1)-vectors from sparse signature matrix based on deep neural networ... [more] | IT2019-28 pp.13-17 |
| IE | 2019-06-21 13:30 |
Okinawa | An image pre-transformation method to suppress recognition errors in highly compressed images Satoshi Suzuki, Motohiro Takagi, Kazuya Hayase, Takayuki Onishi, Atsushi Shimizu (NTT) IE2019-18 |
In image recognition, it is desirable to input an original image because image distortion leads to lower accuracy. Howe... [more] |
IE2019-18 pp.7-12 |
|
| RCS | 2019-06-21 11:40 |
Okinawa | Miyakojima Hirara Port Terminal Building | SNR Estimation by using Neural Network in Adaptive Modulation and Coding Shun Kojima, Kazuki Maruta, Chang-Jun Ahn (Chiba Univ.) RCS2019-94 |
This paper proposes a novel Adaptive Modulation and Coding (AMC) scheme enabled by Artificial Neural Network (ANN) aide... [more] |
RCS2019-94 pp.333-338 |
| MRIS, ITE-MMS | 2019-06-14 11:10 |
Miyagi | Tohoku Univ. | A study on neural network LLR modulation in TDMR Madoka Nishikawa, Yasuaki Nakamura (Ehime Univ.), Yasushi Kanai (NIT), Hisashi Osawa, Yoshihiro Okamoto (Ehime Univ.) MRIS2019-8 |
In our previous research, we focused on a log-likelihood ratio (LLR) computed as the decoding reliability by a posterior... [more] | MRIS2019-8 pp.53-58 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2019-03-15 13:50 |
Kagoshima | Kagoshima University | Consideration on the effect of pixel resolution and JPEG encoding on detection accuracy of road sign Imamura Kosuke, Yuukou Horita (Univ. of Toyama) IMQ2018-65 IE2018-149 MVE2018-96 |
Currently, various driving support technologies have been developed toward the realization of automated driving system o... [more] | IMQ2018-65 IE2018-149 MVE2018-96 pp.233-237 |
| MRIS, ITE-MMS | 2018-12-06 14:00 |
Ehime | Ehime University | A study of LLR modulation using neural network decision Madoka Nishikawa, Yasuaki Nakamura (Ehime Univ.), Yasushi Kanai (Niigata Tech.), Hisashi Osawa, Yoshihiro Okamoto (Ehime Univ.) MRIS2018-21 |
In our previous research, we focused on a log-likelihood ratio (LLR) computed as the decoding reliability by a posterior... [more] | MRIS2018-21 pp.7-12 |
| IEE-CMN, EMM, LOIS, IE, ITE-ME [detail] | 2018-09-27 14:50 |
Oita | Beppu Int'l Convention Ctr. aka B-CON Plaza | An Inverse Tone Mapping Operation Using CNN with LDR Based Learning Yuma Kinoshita, Hitoshi Kiya (Tokyo Metro. Univ.) LOIS2018-14 IE2018-34 EMM2018-53 |
This paper proposes an inverse tone mapping operation using CNN with LDR based learning. In inverse tone mapping with CN... [more] | LOIS2018-14 IE2018-34 EMM2018-53 pp.23-28 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2018-09-20 10:10 |
Fukuoka | Structural Learning of Neural Network based on Outputs of Neurons Koji Kamma, Yuki Isoda, Toshikazu Wada (Wakayama Univ.) PRMU2018-40 IBISML2018-17 |
This paper presents a method of compaction on DNNs. Our method includes two steps, 1) Neuro-Coding: feature the neuron b... [more] | PRMU2018-40 IBISML2018-17 pp.31-36 |
|
| NLP | 2018-08-08 15:25 |
Kagawa | Saiwai-cho Campus, Kagawa Univ. | Hierarchical Lossless Image Coding Using CNN Predictors Optimized by Adaptive Differential Evolution Yuki Kawai, Yuki Nagano, Hideharu Toda, Hisashi Aomori (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Ichiro Matsuda, Susumu Itoh (TUS) NLP2018-59 |
We have been proposed on hierarchical lossless image coding using predictors composed of Cellular Neural Network(CNN).Th... [more] | NLP2018-59 pp.35-38 |
| IE | 2018-06-29 13:25 |
Okinawa | Design of Neural Network for Intra Prediction Mode Decision Yukiya Seki, Yoshiaki Shishikui (Meiji Univ.), Shunsuke Iwamura (NHK) IE2018-26 |
In H.265/HEVC standard, HM which is the reference software uses RD optimization processing to determine the intra predic... [more] | IE2018-26 pp.27-32 |
|
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2018-06-13 15:50 |
Okinawa | Okinawa Institute of Science and Technology | 3D Super Resolution Microscopy using Convolutional Neural Network Masaru Tanaka (Waseda Univ.), Hideitsu Hino (ISM), Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose (The Univ. of Tokyo), Noboru Murata (Waseda Univ.) IBISML2018-11 |
Super-resolution microscopy is a microscopy technique with a resolution beyond the diffraction limit of light. Despite t... [more] | IBISML2018-11 pp.75-80 |
| MRIS, ITE-MMS | 2018-06-08 09:40 |
Miyagi | Tohoku Univ. | A study on iterative decoding with neural network LLR modulator in SMR system Madoka Nishikawa, Yasuaki Nakamura, Hisashi Osawa, Yoshihiro Okamoto (Ehime Univ.), Yasushi Kanai (Niigata Ins. of Tec.), Hiroaki Muraoka (Tohoku Univ.) MRIS2018-10 |
In our previous research, we showed that the iterative decoding with a log-likelihood ratio (LLR) modulator using parity... [more] | MRIS2018-10 pp.55-60 |
| RCS, SR, SRW (Joint) |
2018-03-01 09:20 |
Kanagawa | YRP | Transmit Power and Beamforming Control Using Neural Networks for MIMO Small Cell Networks with Interference Cancellation Koi Tou, Yuyuan Chang, Kazuhiko Fukawa (TokyoTech) RCS2017-347 |
Dense deployment of small cell base stations (BSs) causes the coverage areas of neighboring cells to overlap, which incr... [more] | RCS2017-347 pp.173-178 |
| MBE, NC, NLP (Joint) |
2018-01-27 11:45 |
Fukuoka | Kyushu Institute of Technology | Neural Pulse Coding using ReRAM-based Neuron Devices Kazuki Nakada (Hiroshima City Univ.) NLP2017-98 |
Researches on hardware implementation of neuromorphic systems and machine learning algorithms are steadily progressing. ... [more] | NLP2017-98 pp.63-68 |
| MBE, NC (Joint) |
2017-12-16 14:55 |
Aichi | Nagoya University | Neural coding of object's shape in electrolocation of weakly electic fish Shun Okuno (UEC), Kazuhisa Fujita (NIT, Tsuyama College/UEC), Yoshiki Kashimori (UEC) NC2017-47 |
Weakly electric fish generate an electric field around their fish body. An object nearby fish elicits a modulation of el... [more] | NC2017-47 pp.41-46 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2017-06-23 16:00 |
Okinawa | Okinawa Institute of Science and Technology | Analysis of Robustness of Approximators Based on Neural Networks Against Redundant Dimensions Shoichi Someno, Tomohiro Tanno, Kazumasa Horie, Jun Izawa, Tomoki Ichiba, Masahiko Morita (Tsukuba Univ.) NC2017-8 |
Redundant input dimensions that are not related to the output are known to lower the approximate accuracy of function ap... [more] | NC2017-8 pp.21-26 |
| NLP | 2017-03-14 11:15 |
Aomori | Nebuta Museum Warasse | Hierarchical Lossless Image Coding using Inheritance of Predictor-Prototypes and Designing of CNN Predictors based on Estimate of Coding Bits Hideharu Toda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Ichiro Matsuda, Susumu Itoh (TUS), Hisashi Aomori (Chukyo Univ.) NLP2016-109 |
We proposed a hierarchical lossless image coding method using cellular neural network (CNN). It performs adaptive multi ... [more] | NLP2016-109 pp.19-24 |
| NC, NLP (Joint) |
2017-01-26 15:25 |
Fukuoka | Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. | White Noise Analysis for the Correlation-type Elementary Motion Detectors with Half-wave Rectifiers Hideaki Ikeda, Toru Aonishi (Tokyo Tech) NC2016-51 |
Several motion-detection models have been proposed on the basis of insect visual system studies. We focus on the two mod... [more] | NC2016-51 pp.19-24 |
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