Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
ICM, NS, CQ, NV (Joint) |
2023-11-21 17:15 |
Ehime |
Ehime Prefecture Gender Equality Center (Primary: On-site, Secondary: Online) |
Generalization of Intent extraction techniques based on multiple use case application demonstrations Hiroaki Kikushima, Chao Wu, Shingo Horiuchi, Kennichi Tayama, Tomoko Shibata (NTT) ICM2023-24 |
NTT Laboratories aims at automatically deriving the quantified Intent for input to the system by the interaction with th... [more] |
ICM2023-24 pp.8-13 |
NLP, MSS |
2023-03-17 11:00 |
Nagasaki |
(Primary: On-site, Secondary: Online) |
Knowledge Extraction by Machine Learning Using Physical and Human Sensors in Smart Agriculture Kenta Toya, Moritaro Inoue, Naoshi Uchihira (JAIST) MSS2022-97 NLP2022-142 |
Smart agriculture based on IoT is one of the effective methods to improve the efficiency of agricultural work. However, ... [more] |
MSS2022-97 NLP2022-142 pp.164-167 |
MSS, NLP |
2022-03-28 13:50 |
Online |
Online |
Knowledge Extraction from Physical and Human Sensors in Smart Agriculture
-- Preliminary experiments with planter cultivation data -- Kenta Toya, Moritaro Inoue, Naoshi Uchihira (JAIST) MSS2021-63 NLP2021-134 |
One of the most promising approaches to increasing agricultural efficiency is the use of the agricultural Internet of Th... [more] |
MSS2021-63 NLP2021-134 pp.43-44 |
NS, IN (Joint) |
2022-03-10 10:40 |
Online |
Online |
Edge cloud cooperation system for anomaly detection using image data Yuki Tanaka, Ryoichi Kawahara (Toyo Univ.) IN2021-32 |
In the field of IoT, which is becoming more widespread, it is expected that useful information extraction from image dat... [more] |
IN2021-32 pp.7-12 |
NLC |
2021-09-16 09:10 |
Online |
Online |
An Attempt to Extraction of Cause-Effect Expressions by Sequence-Labeling Hiroki Sakaji, Kiyoshi Izumi (The Univ. of Tokyo), Atsuo Kato (DIR), Shintaro Nagao (DAM) NLC2021-6 |
In this research, we propose a method for extracting cause-effect expressions using the general language model and clue ... [more] |
NLC2021-6 pp.1-4 |
IBISML |
2020-03-11 09:45 |
Kyoto |
Kyoto University (Cancelled but technical report was issued) |
Knowledge Graph Completion by Separating Transition and Score Functions Kenta Hama, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) IBISML2019-41 |
A knowledge graph is represented by a set of two entities and the relations, and used for various tasks such as informat... [more] |
IBISML2019-41 pp.59-62 |
IE, CS, IPSJ-AVM, ITE-BCT [detail] |
2019-12-05 13:55 |
Iwate |
Aiina Center |
An Circular Road Signs Extraction Method for Accelerating Object Detection System Fang Yin, Kentaro Katayama, Eiji Yoshida (Fujitsu Lab) CS2019-77 IE2019-57 |
Cyber-physical system (CPS) becomes realistic with the development of sensing technology and pattern recognition technol... [more] |
CS2019-77 IE2019-57 pp.41-46 |
NLP |
2019-09-23 10:40 |
Kochi |
Eikokuji Campus, University of Kochi |
Image Classification of Datasets Composed of Depth Prediction Images and Edge Extraction Images using Convolutional Neural Network Shu Sumimoto, Yuichi Miyata, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2019-38 |
In this study, we classify images by using Convolutional Neural Network. We aim at differentiating humans or cars. Datase... [more] |
NLP2019-38 pp.19-22 |
AI |
2019-02-23 11:00 |
Tokyo |
|
Mining Semantic Patterns from Dependency Trees of Japanese Sentences Ryo Suzuki, Ken Kaneiwa (The Univ. of Electro-Communications) AI2018-46 |
Users can obtain information from large-scale web texts using keyword-based web search services. Such search services fi... [more] |
AI2018-46 pp.51-55 |
NS |
2018-05-17 16:40 |
Kanagawa |
Yokohama City Education Center |
[Invited Talk]
A Proposal of Visual IoT for Real-Time Monitoring Takeshi Murata (NICT), Takamichi Mizuhara (CLT), Praphan Pavarangkoon, Kazunori Yamamoto (NICT), Kazuya Muranaga (SEC), Toshiki Aoki (CLT) NS2018-22 |
Visual Internet of Things (IoT) is a class of IoT that collects rich visual data. In general, the visual IoT device is e... [more] |
NS2018-22 pp.43-46 |
DE, CEA, IPSJ-DBS |
2017-12-23 15:00 |
Tokyo |
National Institute of Informatics |
Learning Templates for Generalizing Procedural Texts Minari Yoshinari (Tohoku Univ.), Sho Yokoi, Kentaro Inui (Tohoku Univ./RIKEN) DE2017-36 |
In this research, we attempt to learn procedural templates from sets of procedures which achieve a common purpose. Our h... [more] |
DE2017-36 pp.103-107 |
NLC |
2017-09-08 17:10 |
Tokyo |
Seikei University |
Determination of unexpectedness of cause-result expressions extracted from summary of financial statements Risa Murono, Hiroyuki Sakai (Seikei Univ.), Hiroki Sakaji (The Univ. of Tokyo), Jason Bennett (SMAM) NLC2017-34 |
In this research, we propose a method to automatically determine whether cause-result expressions extracted from summary... [more] |
NLC2017-34 pp.93-98 |
LOIS |
2017-03-03 13:55 |
Okinawa |
N.Ohama Memorial Hall |
A Study of Knowledge Extraction for Managing Incident Response Megumi Uesu, Tomohiro Kokogawa, Naoko Kosaka (former NTT), Kentaro Inui, Kenshi Yamaguchi (Tohoku Univ.), Yuji Maeda (former NTT) LOIS2016-95 |
When unexpected situations occur, managers’ management ability is important. However, it is difficult to master this abi... [more] |
LOIS2016-95 pp.183-188 |
HCGSYMPO (2nd) |
2016-12-07 - 2016-12-09 |
Kochi |
Kochi City Culture Plaza (CUL-PORT) |
Extraction of object region using a depth image Shouhei Takemoto, Yoshinori Arai (Tokyo Polytechnic Univ.) |
In this paper, a method of extracting the object region using the distance information is proposed. Pixels that differen... [more] |
|
IMQ, HIP |
2016-07-29 16:10 |
Hokkaido |
Sapporp City Univ. |
Denoising and Edge Enhancement for Median Nerve Detection in Ultrasonograpy Koutaro Katayama, Keiji Shibata, Tohru Sasaki, Ryusuke Osada, Yuukou Horita (Univ. of Toyama) IMQ2016-15 HIP2016-41 |
While three-dimensional information of nerves is required for the diagnosis of peripheral neuropathy, we have developed ... [more] |
IMQ2016-15 HIP2016-41 pp.49-52 |
SIS |
2015-06-08 14:00 |
Nagasaki |
Arkas SASEBO |
Image Edge-Preserving Smoothing Realized by Local Gradient Space Processing Shota Furukawa (Yamaguchi Univ.), Takanori Koga (Tokuyama College of Technology), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2015-2 |
In the gradient-domain image processing technique, filtering functions such as edge-preserving smoothing, line structure... [more] |
SIS2015-2 pp.7-12 |
SANE |
2014-10-23 13:40 |
Overseas |
Ramada Plaza Melaka, Malacca, Malaysia |
The Effect of NDVI and Band Characteristics on Building Line Detection Using High Resolution Satellite Imagery Junho Yeom, Minyoung Jung, Yongil Kim (Seoul National Univ.) SANE2014-83 |
Image processing techniques using high resolution satellite images have advanced during recent decades. However, artific... [more] |
SANE2014-83 pp.107-112 |
SANE |
2014-10-23 14:40 |
Overseas |
Ramada Plaza Melaka, Malacca, Malaysia |
Extraction of Urban Roads Based on Edge Information from High-Resolution Satellite Imagery Minyoung Jung, Junho Yeom, Yongil Kim (Seoul National Univ.) SANE2014-86 |
This paper proposes the method of urban road extraction from a high spatial resolution satellite image. The proposed met... [more] |
SANE2014-86 pp.123-127 |
ET |
2014-03-08 16:40 |
Kochi |
Kochi National College of Technology |
Development of a Support System for Management of Research Resources Focusing on Accumulation of Polish Processes and their Understanding Hiroyuki Anzai, Yusuke Morita, Hiroki Nakayama, Hiroaki Kaminaga (Fukushima Univ.), Youzou Miyadera (Gakugei Univ.), Shoichi Nakamura (Fukushima Univ.) ET2013-104 |
Several documents (e.g. papers, presentation slides) and various information (e.g. comments from project members) are ha... [more] |
ET2013-104 pp.71-76 |
KBSE |
2014-03-07 11:00 |
Okinawa |
Okinawaken-Seinenkaikan |
Event extraction from video data of football games using qualitatve spatio-temporal representation Masaki Sakaida, Takanori Kiyose, Kazuko Takahashi (Kwansei Gakuin Univ.) KBSE2013-92 |
We describe a method of representing relative positional relationship of regions extracted from a video footage of footb... [more] |
KBSE2013-92 pp.79-84 |