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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| RCS | 2024-06-20 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
[more] | ||
| EE | 2024-03-11 09:15 |
Tokyo | (Primary: On-site, Secondary: Online) |
Design Method for Load-Independent WPT Systems Using Machine Learning Naoki Fukuda, Yutaro Komiyama, Wenqi Zhu, Yinchen Xie, Ayano Komanaka, Akihiro Konishi, Kien Nguyen, Hiroo Sekiya (Chiba Univ.)  EE2023-58 |
This paper proposes a design method for load-independent wireless power transfer (WPT) systems using machine learning. ... [more] |
EE2023-58 pp.6-11 |
| NS, IN (Joint) |
2024-02-29 10:45 |
Okinawa | Okinawa Convention Center | Proposal of a Data Leakage Attack against a Vertical Federated Learning System based on Knowledge Distillation Takumi Suimon, Yuki Koizumi, Junji Takemasa, Toru Hasegawa (Osaka Univ.) NS2023-187 |
Vertical federated learning is a method for participants who have data with the same samples but different features to c... [more] | NS2023-187 pp.90-95 |
| DE, IPSJ-DBS | 2023-12-26 14:20 |
Tokyo | Institute of Industrial Science, The University of Tokyo | A study on selective reuse of local policies in transfer learning agents Hiroya Hamada, Fumiaki Saitoh (CIT) DE2023-29 |
In recent years, reinforcement learning has gained attention for its application in acquiring AI behaviors. One challeng... [more] | DE2023-29 pp.7-11 |
| IBISML | 2023-12-21 11:20 |
Tokyo | National Institute of Informatics (Primary: On-site, Secondary: Online) |
Classification Error Analysis under Covariate Shift between Non-absolutely Continuous Distributions through neighbor-transfer-exponent Mitsuhiro Fujikawa, Youhei Akimoto (Univ. of Tsukuba), Jun Sakuma (Tokyo Inst. of Tech.), Kazuto Fukuchi (Univ. of Tsukuba) IBISML2023-39 |
Transfer learning is considered successful when increasing the source sample size decreases the target sample size neede... [more] | IBISML2023-39 pp.58-65 |
| SIS | 2023-12-07 14:40 |
Aichi | Sakurayama Campus, Nagoya City University (Primary: On-site, Secondary: Online) |
Transfer Learning-Based Detection of Swallowing Sounds and its Application for Swallowing Measurement Reoto Nishijima, Ryoichi Miyazaki (NITTC) SIS2023-29 |
Dysphagia is a problem with the act of swallowing food or drink. Dysphagia can cause aspiration, in which food or drink ... [more] | SIS2023-29 pp.31-36 |
| SP, NLC, IPSJ-SLP, IPSJ-NL [detail] | 2023-12-03 11:05 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Self-supervised learning model based emotion transfer and intensity control technology for expressive speech synthesis Wei Li, Nobuaki Minematsu, Daisuke Saito (Univ. of Tokyo) NLC2023-21 SP2023-41 |
Emotion transfer techniques, which transfersba the speaking style from the reference speech to the target speech, are wi... [more] | NLC2023-21 SP2023-41 pp.43-48 |
| ICM, NS, CQ, NV (Joint) |
2023-11-22 09:25 |
Ehime | Ehime Prefecture Gender Equality Center (Primary: On-site, Secondary: Online) |
A Study on Transfer of Decision Tree for Operation of Future Managed Networks Takaaki Moriya, Takashi Mukai, Manabu Nishio, Ai Tsunoda, Ken Kanishima (NTT) ICM2023-26 |
When we build a new managed network, we need knowledge to solve various failures that will be occurred in the network. H... [more] | ICM2023-26 pp.20-25 |
| SR | 2023-11-10 10:55 |
Miyagi | (Primary: On-site, Secondary: Online) |
[Short Paper]
On Model Transfer with Deep Joint Source Channel Coding Katsuya Suto, Issa Matsumura, Junichiro Yamada (UEC) SR2023-58 |
Based on the source channel separation theorem, the current multimedia transfer system employs independently designed so... [more] | SR2023-58 pp.61-63 |
| RCS, SAT (Joint) |
2023-08-31 10:55 |
Nagano | Naganoken Nokyo Building, and online (Primary: On-site, Secondary: Online) |
A study on source data and decoder of multitask CSI feedback method in FDD Massive MIMO Mayuko Inoue, Tomoaki Ohtsuki (Keio Univ.) RCS2023-102 |
In frequency-division duplex (FDD) massive multiple-input multiple-output (MIMO) systems, it is necessary to obtain down... [more] | RCS2023-102 pp.5-8 |
| CQ, MIKA (Joint) |
2023-08-31 16:20 |
Fukushima | Tenjin-Misaki Sports Park | Enhancing Communication Efficiency for UAV Networks through Knowledge Distillation and Transfer Learning in Federated Learning Yalong Li, Zhaoyang Du, Celimuge Wu, Tsutomu Yoshinaga (UEC) CQ2023-30 |
Federated learning (FL) in unmanned aerial vehicles (UAVs) networks demands considerable communication resources to tran... [more] | CQ2023-30 pp.26-31 |
| MSS, CAS, SIP, VLD | 2023-07-06 10:40 |
Hokkaido | (Primary: On-site, Secondary: Online) |
Autoencoder Based Incremental LSI Test Escape Detection Using Transfer Learning Ayano Takaya, Michihiro Shintani (KIT) CAS2023-4 VLD2023-4 SIP2023-20 MSS2023-4 |
Machine-learning-based test escape detection is gaining attention as a novel approach for detecting faulty large-scale i... [more] | CAS2023-4 VLD2023-4 SIP2023-20 MSS2023-4 pp.16-21 |
| SC | 2023-06-03 10:35 |
Fukushima | UBIC 3D Theater, University of Aizu (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Understanding transfer learning for medical image classification. Dao Ngoc HOng, Paik Incheon (UoA) SC2023-9 |
Transfer learning is one of the critical solutions to deal with the problem of data scarcity, where the learning process... [more] | SC2023-9 pp.48-52 |
| 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 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 16:40 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Does the class imbalance in the pre-training always adversely affect transfer learning performance? Shojun Nakayama (Toshiba) PRMU2022-89 IBISML2022-96 |
In this work, we studied how class-imbalance in the pre-training affect to the accuracy of the transfer learning. We div... [more] | PRMU2022-89 IBISML2022-96 pp.151-156 |
| SP, IPSJ-SLP, EA, SIP [detail] | 2023-03-01 11:40 |
Okinawa | (Primary: On-site, Secondary: Online) |
Predominant Instrument Recognition in Polyphonic Music Based on Transfer Learning with Vanilla ResNet-50 Lifan Zhong, Daisuke Saito, Nobuaki Minematsu (UTokyo) EA2022-114 SIP2022-158 SP2022-78 |
Instrument recognition is an active research field in MIR (Music Information Retrieval) and has great potential for real... [more] | EA2022-114 SIP2022-158 SP2022-78 pp.232-237 |
| EMM | 2023-01-26 09:55 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
On the Transferability of Adversarial Examples between Isotropic Network and CNN models Miki Tanaka (Tokyo Metropolitan Univ.), Isao Echizen (NII), Hitoshi Kiya (Tokyo Metropolitan Univ.) EMM2022-62 |
Deep neural networks are well known to be vulnerable to adversarial examples (AEs). In addition, AEs generated for a sou... [more] | EMM2022-62 pp.7-12 |
| EMM | 2023-01-26 11:05 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
[Invited Talk]
Sound Event Detection and Localization for Humanoid Robots Yong-Hwa Park (KAIST) EMM2022-64 |
Pursuing intelligent machines that recognize human’s condition and surrounding events autonomously, this lecture focuses... [more] | EMM2022-64 p.19 |
| AP, WPT (Joint) |
2023-01-20 11:15 |
Hiroshima | Hiroshima Institute of Technology (Primary: On-site, Secondary: Online) |
Optimization of residual energy of devices by controlling the path of wireless charging robots Toshiki Nishidani, Hiroshi Saito (UTokyo) WPT2022-27 |
Wireless charging to devices located at a distance provides convenient and reliable power supply. We focused on optimizi... [more] | WPT2022-27 pp.1-6 |
| HCGSYMPO (2nd) |
2022-12-14 - 2022-12-16 |
Kagawa | Onsite (Sunport Takamatsu) and Online (Primary: On-site, Secondary: Online) |
Classification method of room sound environment using spectrogram images and its real environment evaluation Shota Sano (KAIT), Azusa Takahashi, Keisuke Hasegawa (JSP), Yuusuke Kawakita, Tsuyoshi Miyazaki, Hiroshi Tanaka (KAIT) |
There are various sound sources in a room, and various applications such as monitoring a living situation can be expecte... [more] | |
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