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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, CAS | 2023-10-06 15:40 |
Gifu | Work plaza Gifu | A clustering system of binary data based on reccurent neural network Kazuma Kiyohara, Toshimichi Saito (HU)  CAS2023-44 NLP2023-43 |
This paper studies clustering methods for binary data based on nonlinear dynamics in associative memories (AM). The... [more] |
CAS2023-44 NLP2023-43 pp.62-65 |
| DE, IPSJ-DBS, IPSJ-IFAT [detail] | 2023-09-22 11:20 |
Fukuoka | Kitakyushu International Conference Center | A prototype system for interactively combining more than 1000 pieces of table formatted big data and interactively overviewing of it
-- Performance measurement of overviewing (displaying, searching, tabulating, and sorting) more than 3 trillion records of virtual table formatted data -- Shinji Furusho (NNI Technologies), Atsushi Iizawa (Ricoh IT Solutions), Hiroshi Tezuka (Bird's-eye View Engineering Institute), Yukio Yamamoto (ISAS), Takashi Matsuhisa, Manabu Iida (SEC), Tadashi Nagao (Layman's Admin) DE2023-24 |
The virtual tabular data, created with the purpose of facilitating the distribution of diverse tabular big data, is a vi... [more] | DE2023-24 pp.78-83 |
| IA | 2023-09-22 13:10 |
Hokkaido | Hokkaido Univeristy (Primary: On-site, Secondary: Online) |
Development and Evaluation of Construction Method of Machine Learning Model for Behavior Estimation of Elderly People based on Sensor Fusion around LiDAR Keigo Shimatani, Hiroshi Yamamoto (Ritsumeikan Univ) IA2023-26 |
In recent years, population is aging rapidly in Japan, and the shortage of caregivers in the welfare field is a serious ... [more] | IA2023-26 pp.95-100 |
| AI | 2023-09-12 15:35 |
Hokkaido | A Comparative Study of Path Prediction Methods Using Deep Learning in the Stanford Drone Dataset Kentaro Eguchi, Kota Takeshita, Takaaki Miyajima (Meiji Univ.) AI2023-18 |
(To be available after the conference date) [more] | AI2023-18 pp.95-100 |
|
| NS, IN, CS, NV (Joint) |
2023-09-08 09:00 |
Miyagi | Tohoku University (Primary: On-site, Secondary: Online) |
Demonstrating Data Poisoning Attacks on Machine Learning Models with Multi-Sensor Inputs Shyam Maisuria, Yuichi Ohsita, Masayuki Murata (Osaka Univ.) IN2023-31 |
Data poisoning attacks pose a significant threat to the integrity and reliability of machine learning models. These atta... [more] | IN2023-31 pp.8-13 |
| NLC | 2023-09-06 13:45 |
Osaka | Osaka Metropolitan University. Nakamozu Campus. (Primary: On-site, Secondary: Online) |
An Investigation of the Performance of Large-scale Generative Language Models on Subjective and Objective Emotion Estimation Mizuki Tada, Makoto Okada, Naoki Mori (Osaka Metropolitan Univ.) NLC2023-2 |
The cost of annotating datasets is often an issue in natural language processing tasks. One way to reduce costs is to us... [more] | NLC2023-2 pp.7-11 |
| RCS, SAT (Joint) |
2023-08-31 16:20 |
Nagano | Naganoken Nokyo Building, and online (Primary: On-site, Secondary: Online) |
[Encouragement Talk]
Comparative study of channel coding methods for performance improvement in next-generation optical satellite data relay system Eiji Okamoto, Yuma Yamashita (NITech), Yohei Satoh, Mitsuhiro Nakadai, Takamasa Itahashi, Shiro Yamakawa (JAXA) SAT2023-42 |
Optical satellite data relay systems which send high-capacity data observed by low-orbit user satellites to geostationar... [more] | SAT2023-42 pp.41-45 |
| EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] | 2023-07-25 14:50 |
Hokkaido | Hokkaido Jichiro Kaikan | Anomaly detection with dataset including replay-attack communication Koushi Nishi, Futa Yuichi (TUT), Okazaki Hiroyuki (Shinshu University) ISEC2023-52 SITE2023-46 BioX2023-55 HWS2023-52 ICSS2023-49 EMM2023-52 |
General-purpose devices and communications are increasingly introduced to control systems in factories and power plants ... [more] | ISEC2023-52 SITE2023-46 BioX2023-55 HWS2023-52 ICSS2023-49 EMM2023-52 pp.247-254 |
| AP, SANE, SAT (Joint) |
2023-07-12 09:50 |
Hokkaido | The Citizen Activity Center (Primary: On-site, Secondary: Online) |
A Universal Method of Dataset Building for SAR Image Land-use Land-cover Classification and the Evaluation Jing-Yuan Wang, Josaphat Tetuko Sri Sumantyo (Chiba Univ.) SANE2023-21 |
Because the awesome characteristics are shown by SAR, the images are widely used in remote sensing fields and various ap... [more] | SANE2023-21 pp.1-6 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-23 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
Data Augmentation by Synthesised Voice for Deep Learning-based A Cappella Separation Kyoka Kazama (TMU), Yuma Kinoshita (Tokai Univ.), Natsuki Ueno, Nobutaka Ono (TMU) SP2023-4 |
In this study, we examine efficacy of training data augmentation for a cappella singing voice separation using deep lear... [more] | SP2023-4 pp.14-19 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2023-06-24 13:50 |
Tokyo | (Primary: On-site, Secondary: Online) |
Non-chord Tone Data Collection for Music Analysis and Generation Takuya Takahashi, , Toru Nakashika, Shigeki Sagayama (UEC) SP2023-20 |
The non-chord tones are one of the components of harmony theory and play an important role in music analysis and composi... [more] | SP2023-20 pp.97-102 |
| CCS | 2023-03-26 13:35 |
Hokkaido | RUSUTSU RESORT | Analysis of learning performance in CycleGAN by applying data augmentation to few data Syuhei Kanzaki, Hidehiro Nakano (Tokyo City Univ.) CCS2022-72 |
In machine learning and deep learning, a huge amount of data is required for training. The image generation model GAN ex... [more] | CCS2022-72 pp.54-58 |
| SS | 2023-03-14 16:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
Automatic Dataset Collection and Formatting Techniques for Machine Learning Systems Takako Kawaguchi, Toshiyuki Kurabayashi, Haruto Tanno (former NTT) SS2022-57 |
In recent years, as machine learning models have become larger and larger, the scale of data required for training has a... [more] | SS2022-57 pp.61-66 |
| SS | 2023-03-15 09:55 |
Okinawa | (Primary: On-site, Secondary: Online) |
Regularity Preservation Property of Data Tree Rewrite Systems
-- A Subclass Decomposable into Monadic Normal Form -- Yuto Sakao, Hiroyuki Seki (Nagoya Univ.) SS2022-62 |
Let $T$ be a transformation over a class $mathcal{L}$ of languages. If for any regular language $L in mathcal{L}$, $T^*(... [more] | SS2022-62 pp.91-96 |
| NC, MBE (Joint) |
2023-03-15 09:55 |
Tokyo | The Univ. of Electro-Communications (Primary: On-site, Secondary: Online) |
Toward the setting up of a tool for comprehensively extracting anatomical projections from the neuroscience literature Yuta Ashihara (Nihon Univ/UTokyo/WBAI), Iliya Horiguch (UTokyo), Hiroshi Yamakawa (UTokyo/WBAI) NC2022-109 |
Brain Reference Architecture(BRA), an approach to developing brain-based software, a functional component diagram (HCD) ... [more] | NC2022-109 pp.99-104 |
| R | 2023-03-10 16:40 |
Hiroshima | (Primary: On-site, Secondary: Online) |
A Study on a Statistical Detection Method for Cascading Failure of Bearings Based on Copula Models Mitsuhiro Kimura (Hosei Univ.), Shuhei Ota (Kanagawa Univ.) R2022-56 |
The present paper analyzes the IMS dataset from an accelerated testing environment of four coaxially mounted roller elem... [more] | R2022-56 pp.47-52 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-02 09:00 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Toward Regularizing Neural Networks with Meta-Learning Generative Models Shin'ya Yamaguchi (NTT/Kyoto Univ.), Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai (NTT), Hisashi Kashima (Kyoto Univ.) PRMU2022-58 IBISML2022-65 |
This paper investigates methods for improving generative data augmentation for deep learning. Generative data augmentati... [more] | PRMU2022-58 IBISML2022-65 pp.1-6 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2023-03-03 16:25 |
Hokkaido | Future University Hakodate (Primary: On-site, Secondary: Online) |
Fast Identification of Possible Model Parameter Update for Low-Rank Update of Training Data Hiroyuki Hanada, Noriaki Hashimoto (RIKEN), Kouichi Taji, Ichiro Takeuchi (Nagoya Univ.) PRMU2022-123 IBISML2022-130 |
Machine learning methods often require re-training the training dataset with low-rank modifications (small number of ins... [more] | PRMU2022-123 IBISML2022-130 pp.347-354 |
| SIS | 2023-03-03 11:10 |
Chiba | Chiba Institute of Technology (Primary: On-site, Secondary: Online) |
Investigation of introducing data augmentation methods to improve speech enhancement performance Reito Kasuga, Yosuke Sugiura, Nozomiko Yasui, Tetsuya Shimamura (Saitama Univ.) SIS2022-52 |
The field of speech enhancement has been extensively researched worldwide, and many speech enhancement methods have been... [more] | SIS2022-52 pp.64-69 |
| RCS, SR, SRW (Joint) |
2023-03-01 11:15 |
Tokyo | Tokyo Institute of Technology, and Online (Primary: On-site, Secondary: Online) |
Self-Superviced Non-IID Federated Learning by using CKA Li Zhaojie, Ohtsuki Tomoaki (Keio Univ.), Gui Guan (NJUPT) RCS2022-254 |
Federated Learning is now widely used to train neural networks on distributed datasets. It allows a system to perform di... [more] | RCS2022-254 pp.42-47 |
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