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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, CCS | 2024-06-06 09:55 |
Fukuoka | West Japan General Exhibition Center AIM | Training approaches for photonic reservoir computing circuits Keigo Takabayashi, Ryota Nakayama, Takeo Maruyama, Tomoaki Niiyama, Satoshi Sunada (Kanazawa Univ.) |
(To be available after the conference date) [more] | |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-24 10:00 |
Tokushima | Naruto University of Education | Hierarchical lossless compression of high dynamic range images using predictors based on cellular neural networks Seiya Kushi, Kazuki Nakashima, Hideharu Toda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.)  NLP2023-85 MICT2023-40 MBE2023-31 |
We have been developing a scalable lossless coding method using cellular neural networks (CNN) as predictors. This metho... [more] | NLP2023-85 MICT2023-40 MBE2023-31 pp.12-15 |
| HCGSYMPO (2nd) |
2023-12-11 - 2023-12-13 |
Fukuoka | Asia pacific Import Mart (Kitakyushu) (Primary: On-site, Secondary: Online) |
Deep Item Response Theory using Facial Features Yan Zhou, Kenji Suzuki (Univ. Tsukuba), Shiro Kumano (NTT/Univ. Tsukuba) |
This study proposes a method to integrate students' facial features during item responses into a deep item response theo... [more] | |
| NC, MBE (Joint) |
2023-03-13 16:30 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Evaluation of the transfer of prediction ability between two reflexive eye movements responsible for dynamic visual field stabilization. Toshimi Yamanaka, Yutaka Hirata (Chubu univ.) NC2022-98 |
The optokinetic response (OKR) and the vestibulo-ocular reflex (VOR) are reflexive eye movements that are responsible fo... [more] | NC2022-98 pp.36-41 |
| IN, NS (Joint) |
2023-03-02 10:40 |
Okinawa | Okinawa Convention Centre + Online (Primary: On-site, Secondary: Online) |
Video Metrics Prediction Method Using Packet Timeseries Features for Video Streaming Services Junki Oura, Akihiro Wada, Masatoshi Ogawa, Jun Kakuta, Kaoru Yokoo, Teruhisa Ninomiya (Fujitsu) NS2022-173 |
Recently, a lot of network traffic is generated from video streaming services. In video streaming services, encode qual... [more] |
NS2022-173 pp.37-42 |
| IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] | 2023-02-21 11:10 |
Hokkaido | Hokkaido Univ. | [Special Talk]
Study of Probability Modeling for Lossless Image Coding Using Example Search and Adaptive Prediction Hiroki Kojima (KDDI), Yasuyo Kita, Ichiro Matsuda (Tokyo Univ. of Science) ITS2022-46 IE2022-63 |
Many efficient lossless image coding methods predict the next pel value to be coded from the pels already coded, and rem... [more] | ITS2022-46 IE2022-63 p.25 |
| CAS, NLP | 2022-10-20 14:55 |
Niigata | (Primary: On-site, Secondary: Online) |
Hierarchical Lossless Coding with Arithmetic Coders for Each CNN Predictor Kazuki Nakashima, Ryo Nakazawa, Hideharu Toda, Hisashi Aomori (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Ichiro Matsuda, Susumu Itoh (TUS) CAS2022-23 NLP2022-43 |
We have been developing a scalable lossless coding method using the cellular neural networks (CNN) as predictors. This ... [more] |
CAS2022-23 NLP2022-43 pp.20-24 |
| KBSE, SWIM | 2022-05-20 15:00 |
Tokyo | (Primary: On-site, Secondary: Online) |
Practical Application of Self-Adaptive Anomaly Detection Method Using XAI Shimon Sumita, Hiroyuki Nakagawa, Tatsuhiro Tsuchiya (Osaka Univ.) KBSE2022-3 SWIM2022-3 |
In this study, we examine the use of XAI to improve the performance of a self-adaptive anomaly detection method. As a sp... [more] | KBSE2022-3 SWIM2022-3 pp.13-18 |
| IE | 2021-01-21 14:00 |
Online | Online | [Invited Talk]
Lossless Image/Video Coding Method Based on Probability Model Estimation and Optimization Kyohei Unno (KDDI Research) IE2020-36 |
In this talk, the lossless image/video coding method that is proposed by the author is introduced. The proposed method e... [more] | IE2020-36 p.8 |
| RCS, SR, SRW (Joint) |
2020-03-04 09:00 |
Tokyo | Tokyo Institute of Technology (Cancelled but technical report was issued) |
R&D of Technology for High Reliability Management of Advanced 5G Network to Various Requirements of Communication Services Takahide Murakami, Hiroyuki Shinbo, Yu Tsukamoto, Shinobu Nanba, Yoji Kishi (KDDI Research), Morihiko Tamai, Hiroyuki Yokoyama (ATR), Takanori Hara, Koji Ishibashi (The University of Electro-Communications), Kensuke Tsuda, Yoshimi Fujii (Kozo Keikaku Engineering Inc.), Fumiyuki Adachi, Keisuke Kasai, Masataka Nakazawa (Tohoku Univ.), Yuta Seki, Takayuki Sotoyama (Panasonic) RCS2019-320 |
As the 5th generation mobile communication system is widespread approximately 2025, more variety of communication qualit... [more] | RCS2019-320 pp.1-6 |
| SeMI, IPSJ-ITS, IPSJ-MBL, IPSJ-DPS | 2019-05-23 14:30 |
Kagoshima | Amami-shi Syakai Fukushi Center | Demonstration Test of an Adaptive Video Streaming Method Using Throughput Prediction and Scalable Video Coding Koichi Nihei, Natsuki Kai, Keiichi Chono, Hiroshi Yoshida, Kozo Satoda (NEC) SeMI2019-4 |
To operate drones in non-line-of-sight (NLOS) areas, live video streaming is required for operators to monitor around th... [more] | SeMI2019-4 pp.91-96 |
| RCS, SR, SRW (Joint) |
2019-03-08 09:50 |
Kanagawa | YRP | A Study on Joint Probability Distribution Property of Busy/Idle Duration and its Impact on the Performance of Auto-regressive Based Predictor over Real Environmental Channel Yafei Hou (Okayama Univ.), Kazuto Yano (ATR), Satoshi Denno (Okayama Univ.), Yoshinori Suzuki (ATR) SR2018-137 |
For improving the spectrum efficiency (SE), one of efficient methods is allocating multiple bands for simultaneous wirel... [more] | SR2018-137 pp.89-96 |
| CQ | 2018-06-01 12:45 |
Chiba | Chiba Univ. Nishi-Chiba Campus, academic link center | Improving QoE of Viewport Adaptive 360-degree Video Streaming with Machine Learning Xiaolan Jiang, Yi-Han Chiang (NII), Zhi Liu (Shizuoka Univ.), Yusheng Ji (NII) CQ2018-26 |
To prevent the delivery of entire 360-degree (or 360) videos from adversely affecting QoE, tile-based viewport adaptive ... [more] | CQ2018-26 pp.49-54 |
| ET | 2018-03-03 16:05 |
Kochi | Kochi University of Technology (Eikokuji Campus) | Modeling the temporal change of student proficiency using records in e-learning Midori Kodama, Takahiro Hata, Ippei Shake (NTT) ET2017-132 |
Estimating student’s proficiency from the records of learning system is the key technology to provide adaptive learning ... [more] | ET2017-132 pp.249-252 |
| SIS | 2017-06-02 11:10 |
Oita | Housen-Sou (Beppu) | Transient noise reduction using linear prediction and noise activity detection based on high order statistics Yuto Yoneyama, Naoto Sasaoka, Yoshio Itoh (Tottori Univ.) SIS2017-15 |
We proposed a noise reduction method for a wideband component in transient noise superposed on speech. This method reduc... [more] | SIS2017-15 pp.77-82 |
| SP, SIP, EA | 2017-03-01 15:55 |
Okinawa | Okinawa Industry Support Center | [Invited Talk]
Multikernel Adaptive Filtering: Signal Processing and Machine Learning Masahiro Yukawa (Keio Univ.) EA2016-113 SIP2016-168 SP2016-108 |
We present the multikernel adaptive filtering and introduce its recent advances. Multikernel adaptive filtering is a rec... [more] | EA2016-113 SIP2016-168 SP2016-108 pp.177-182 |
| SP, SIP, EA | 2017-03-02 09:00 |
Okinawa | Okinawa Industry Support Center | [Poster Presentation]
Switchable Adaptive Feedback Canceller for Hearing Aids Kakeru Kashima, Arata Kawamura (Osaka Univ.), Masahiro Sunohara, Kazuteru Nishiyama, Nobuhiko Hiruma (Rion Co., Ltd.), Youji Iiguni (Osaka Univ.) EA2016-124 SIP2016-179 SP2016-119 |
Hearing aids suffer from howling. A traditional adaptive feedback canceller (T-AFC) removes howling, although it often d... [more] | EA2016-124 SIP2016-179 SP2016-119 pp.237-242 |
| NC, MBE (Joint) |
2014-03-18 11:20 |
Tokyo | Tamagawa University | Sparsity of Complex-Valued Neural Networks in Fading Channel Prediction Tianben Ding, Akira Hirose (Univ. of Tokyo) NC2013-106 |
Channel prediction is an important step for channel compensation in fading environment. Previously, we proposed a channe... [more] | NC2013-106 pp.103-108 |
| SR | 2014-01-24 09:00 |
Miyagi | Tohoku Univ. | Improved WLAN load capacity prediction using the ratio of application QoE satisfaction Kazuto Yano, Mariko Sekiguchi, Masayuki Ariyoshi, Kiyoshi Kobayashi (ATR) SR2013-85 |
In order to provide enough level of QoE to more applications with more importance operating on a shared frequency band, ... [more] | SR2013-85 pp.43-50 |
| DC | 2012-12-14 13:45 |
Fukui | Aossa (Fukui) | Mobile device prediction for location-based cloud service Haibo Yan, Masato Kitakami (Chiba Univ.) DC2012-73 |
Mobility prediction is one of the most essential issues which need to be explored for management in a location-based clo... [more] | DC2012-73 pp.1-4 |
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