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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EMM | 2024-01-16 14:50 |
Miyagi | Tohoku Univ. (Primary: On-site, Secondary: Online) |
Development of Smartphone App of an application of EmoEditor (Emotion-Expressive Editor) to mail communications Yuki Shimamura, Michiharu Niimi (KIT)  EMM2023-82 |
We report the implementation of an emotion-expressive editor, EmoEditor, which enables emotion expression through font c... [more] | EMM2023-82 pp.13-18 |
| AI | 2022-12-21 15:50 |
Fukuoka | Generating Student Progress Reports in Cram School Based on Keywords Shumpei Kobashi, Tsunenori Mine (Kyushu Univ) AI2022-44 |
In many cram schools, instructors write reports on students' progress after each class. The generation of these reports ... [more] | AI2022-44 pp.62-67 |
|
| PRMU, IPSJ-CVIM | 2022-03-10 15:50 |
Online | Online | Visual Constraints for Generating Multi-domain Offline Handwritten Mathematical Expressions Huy Quang Ung, Hung Tuan Nguyen, Cuong Tuan Nguyen (Tokyo Univ. Agri. & Tech.), Tsunenori Ishioka (The National Cen. for Univ. Entrance Exam.), Masaki Nakagawa (Tokyo Univ. Agri. & Tech.) PRMU2021-69 |
Offline Handwritten Mathematical Expression (HME) recognition has been intensively studied for two decades. However, mos... [more] | PRMU2021-69 pp.54-59 |
| MBE, NC (Joint) |
2022-03-04 09:55 |
Online | Online | A Method of Generating Frequency Modulation Sounds Based on Onomatopoeia Using Interactive Genetic Algorithm Atsuya Tsuchida, susumu kuroyanagi (NITech) NC2021-70 |
Many sounds are used as sine sounds in daily life to give some kind of information to people. If we can generate sounds... [more] |
NC2021-70 pp.127-132 |
| IBISML | 2022-01-17 10:40 |
Online | Online | Automatic Makeup Transfer with GANs and Its Quantitative Evaluation Cuilin Wang, Jun'ichi Takeuchi (Kyushu Univ.) IBISML2021-20 |
Transferring makeup from a reference image with makeup to a source image without makeup has a wide range of application ... [more] | IBISML2021-20 pp.17-22 |
| HIP | 2020-12-23 09:30 |
Online | Online | Font Generation Support System Reflecting Emotions in Voice Takuto Nonaka, Sho Takizawa, Qiu Chen (Kogakuin Univ.) HIP2020-63 |
Plain text alone cannot be conveying sufficient emotional expression to users. In order to quantitatively express emotio... [more] | HIP2020-63 pp.50-54 |
| MSS, NLP (Joint) |
2020-03-10 09:55 |
Aichi | (Cancelled but technical report was issued) |
A method foe estimating gene regulatory networks based on multiple source of information about regulatory relationships Haga Cham, Yutaka Shimada, Takaomi Shigehara (Saitama Univ.) NLP2019-124 |
Gene regulatory networks play an important role in the expression and activities of genes, where specific proteins and g... [more] | NLP2019-124 pp.65-70 |
| HCGSYMPO (2nd) |
2019-12-11 - 2019-12-13 |
Hiroshima | Hiroshima-ken Joho Plaza (Hiroshima) | Effect of Gender Difference on 3D Emotional Facial Expression Generation based on Principal Component Analysis Ayami Murata, Isseki Miwa, Shigeru Akamatsu (Hosei Univ.) |
In this study, we used 3D face data obtained using the RGB-Depth sensor KinectV2, and analyzed the geometric changes bet... [more] | |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 10:35 |
Tokyo | NHK Science & Technology Research Labs. | [Invited Talk]
Progress and prospects of statistical speech synthesis Keiichi Tokuda (Nagoya Inst. of Tech.) SP2019-35 |
The basic problem of statistical speech synthesis is quite simple: we have a speech database for training, i.e., a set o... [more] | SP2019-35 pp.11-12 |
| SRW, SeMI, CNR (Joint) |
2019-11-06 13:25 |
Tokyo | Kozo Keisaku Engineering Inc. | [Poster Presentation]
Video Gaming with Emotion-Expressive Virtual Rival Agent Shinsuke Kiyomoto, Kazunori Takashio (Keio Univ.) SRW2019-44 SeMI2019-88 CNR2019-38 |
With the evolution of computer gaming hardware causing entertainment to change, on-screen PvP video games still remain t... [more] | SRW2019-44 SeMI2019-88 CNR2019-38 pp.81-82(SRW), pp.101-102(SeMI), pp.79-80(CNR) |
| NLC, IPSJ-IFAT | 2019-02-08 09:30 |
Kyoto | Ryukoku University Omiya Campus | Selection of Figurative Expression Using Automatically Generated Data Set Yuto Mitsuishi, Kazutaka Shimada (Kyutech) NLC2018-42 |
Figurative expressions are one of effective approaches to lead readers to understand. In this paper, we propose a selec... [more] |
NLC2018-42 pp.35-40 |
| HCGSYMPO (2nd) |
Mie | Sinfonia Technology Hibiki Hall Ise | Generation of 3D utterance expression face using shape difference information selected by facial shape classification among individuals Isseki Miwa, Shigeru Akamatsu (Hosei Univ.) |
In this study, we used Kinect V2 RGB-Depth sensor to measure three-dimensional shape of faces and calculated the informa... [more] | ||
| PRMU | 2018-10-19 15:40 |
Kanagawa | PRMU2018-70 |
CyberAgent AI Lab is developing technology to assist and automate creative workflows for advertising expressions such as... [more] | PRMU2018-70 p.11 |
|
| DE, IPSJ-DBS, IPSJ-IFAT | 2018-09-14 13:00 |
Tokyo | A Study on Interaction Analysis Using Japanese Learner's Conversation Data and the Tendency of Dialogue Breaking Hiromitsu Ota (OUJ) DE2018-9 |
Recently, the introduction of chat bots to call centers and the like has become popular, more accurate, dialogue respons... [more] | DE2018-9 pp.1-6 |
|
| CPSY, DC, IPSJ-ARC (Joint) [detail] |
2018-08-01 15:15 |
Kumamoto | Kumamoto City International Center | Optimization of Numerical Expression in CNN using Genetic Algorithm Wakana Nogami (Tokyo Univ./AIST), Tsutomu Ikegami, Shin-ichi O'uchi, Ryosei Takano (AIST), Yuma Kishi, Tomohiro Kudoh (Tokyo Univ./AIST) CPSY2018-26 |
The accuracy of image recognition by the convolutional neural network (CNN) has been improving year by year, and the mod... [more] | CPSY2018-26 pp.193-198 |
| RCS | 2018-06-22 15:15 |
Nagasaki | Nagasaki University | Energy Efficiency Optimization in D2D-enabled Heterogeneous Cellular Networks Fereidoun H. Panahi (Keio Univ.), Farzad H. Panahi (UOK), Ghaith Hattab (UCLA), Tomoaki Ohtsuki (Keio Univ.), Danijela Cabric (UCLA) RCS2018-76 |
Small cells (SCs) offer a promising approach to meeting the exponentially growing data rate demands. However, dense depl... [more] | RCS2018-76 pp.243-248 |
| NLP | 2018-04-26 16:50 |
Kumamoto | Kumaoto Univ. | Interval Algorithm for Random Number Generation in the Case of Markov Coin Tossings Yasutada Oohama (Univ. Electro-Communications) NLP2018-12 |
In this paper we analyze the interval algorithm for random number generation proposed by Han and Hoshi in the case of M... [more] |
NLP2018-12 pp.53-58 |
| CCS | 2018-03-26 10:00 |
Tokyo | Tokyo Univ. of Sci. (Morito Memorial Hall) | Suppression Method of Mode Collapse in Generative Adversarial Nets Shinya Hidai, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) CCS2017-33 |
Generative Adversarial Nets (GAN) is constituted by two neural networks, Generator and Discrminator. Generator creates d... [more] | CCS2017-33 pp.1-6 |
| MBE, NC (Joint) |
2018-03-13 14:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Extraction of Factor Genes by Comparing Sequence Mutations in Gene Regions Based on NGS Data Kazuma Matsui (Kogakuin Univ.), Tomohiro Umezu, Junko H. Ohyashiki (Tokyo Medical Univ.), Yutaka Fukuoka (Kogakuin Univ.) MBE2017-95 |
In this study, a method was proposed for determining differential mutations in next generation sequencing datasets from ... [more] | MBE2017-95 pp.79-82 |
| CCS | 2017-08-11 09:30 |
Hokkaido | Bibai Onsen Yu-rinkan | Throughput Analysis of WLANs of the EDCA in Heterogeneous Condition Shintaro Ikuma, Hiroo Sekiya (Chiba Univ.) CCS2017-13 |
Vehicle-to-vehicle and road-to-vehicle communications adopt the EDCA(Enhanced Distributed Channel Access) protocol to ac... [more] | CCS2017-13 pp.19-24 |
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