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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| 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 |
| 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 |
|
| 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 |
| 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 |
| SP, IPSJ-SLP (Joint) |
2017-07-27 14:30 |
Miyagi | Akiu Resort Hotel Crescent | [Invited Talk]
Synthesis, Recognition and Conversion of Various Speech Using Deep Learning and Their Applications Takashi Nose (Tohoku Univ.) SP2017-16 |
This paper focuses on synthesis, recognition and conversion of various speech in the speech processing using deep learni... [more] | SP2017-16 pp.3-8 |
| MBE, NC (Joint) |
2017-03-14 15:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Statistical Integrative Analysis of MicroRNA and Gene Takuya Oki, Yutaka Fukuoka (Kogakuin Univ.), Tomohiro Umezu, Junko Ohyashiki (Tokyo Med Univ.) MBE2016-101 |
A microRNA (miRNA), which is a non-cording RNA, regulates genes, and recently its role in cancer attracts attention. The... [more] | MBE2016-101 pp.91-94 |
| IBISML | 2017-03-07 13:30 |
Tokyo | Tokyo Institute of Technology | Topic model for analysis of gene expression data Koji Iwayama (Ryukoku Univ.), Atsushi J. Nagano (Ryukoku Univ./Kyoto Univ.) IBISML2016-110 |
The process, by which gene is used in the synthesis of a gene product through transcription and translation, is called e... [more] | IBISML2016-110 pp.77-82 |
| MBE | 2016-07-30 13:50 |
Okayama | Okayama University | A Study on a Feedback Structure Between Genes and a MicroRNA in Cancer Yusuke Tokura, Yutaka Fukuoka (Kogakuin Univ.) MBE2016-17 |
MicroRNA (miRNA), which is a non-cording RNA, regulates genes, and recently its role in cancer attracts attentions. Our ... [more] | MBE2016-17 pp.13-16 |
| NLP | 2014-05-26 14:50 |
Shimane | Big Heart IZUMO | Inferring method of the Gene Regulatory Networks using RBF Networks Adopting a Majority Rule Naoyuki Kizaki, Hiroaki Kurokawa (Tokyo Univ. of Tech.) NLP2014-3 |
The gene regulatory network(GRN) is the in biological system that describes the interaction of the gene expressions. A l... [more] | NLP2014-3 pp.13-18 |
| ITS, IEE-ITS | 2014-03-13 09:20 |
Kyoto | Kyoto Univ. | An Investigation on Generic Properties of People Flow Database Mikio Sasaki (DENSO), Yoshihide Sekimoto (Univ. of Tokyo) ITS2013-69 |
Recently, many people flow databases are being made and widely used not only domestically but also abroad. Practically, ... [more] | ITS2013-69 pp.7-12 |
| HCGSYMPO (2nd) |
2013-12-18 - 2013-12-20 |
Ehime | Matsuyama Multi-Purpose Community Cente | Generation of facial expressions based on morphable 3D shape model
-- A trial of emphasizing perceived impressions between pairs of faces representing confusing expressions -- Yudai Arai, Syunsuke Nagata, Yoshinori Inaba, Shigeru Akamatsu (Hosei Univ.) |
In order to create 3D faces displaying facial expressions, transformation of the face shape from the original straight f... [more] | |
| HCGSYMPO (2nd) |
2012-12-10 - 2012-12-12 |
Kumamoto | Kumamoto-Shintoshin-plaza | Generation of Facial Expressions for Novel Face Based on PCA of the 3D Shape Data Representing Various Facial Expressions Marie Amaki, Chisa Watanabe, Syunsuke Nagata, Syunta Yamamoto, Yoshinori Inaba, Shigeru Akamatsu (Hosei Univ.) |
In order to create 3D face models displaying facial expressions, transformation of the original model representing a str... [more] | |
| HCGSYMPO (2nd) |
2012-12-10 - 2012-12-12 |
Kumamoto | Kumamoto-Shintoshin-plaza | Evaluation of low-dimensional parametric description of 3D faces representing their dynamic deformation caused by facial expressions
-- On the PCA of time series data of feature points obtained by a motion capture system -- Syunsuke Nagata, Syunta Yamamoto, Yoshinori Inaba, Shigeru Akamatsu (Hosei Univ.) |
In this research, we made a comparative study on the discrimination capability among several categories of facial expres... [more] | |
| NLP | 2012-03-28 09:45 |
Nagasaki | Fukue Cultural Hall | Evaluation of the gene regulatory network inference method by the neural network using DNA microarray data Yasuki Hirai, Naoyuki Kizaki, Soichiro Ikuno, Hiroaki Kurokawa (Tokyo Univ of Tech) NLP2011-152 |
The gene regulatory networks show a correlation among gene expression. A lot of method to describe gene regulatory netw... [more] |
NLP2011-152 pp.63-68 |
| PRMU, FM | 2011-12-15 11:00 |
Shizuoka | Hamamatsu Campus, Shizuoka Univ. | Generic Object Recognition by Graph Structural Expression Takahiro Hori, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.) PRMU2011-127 |
This paper describes a method for generic object recognition using graph structural expression. In recent years, generic... [more] | PRMU2011-127 pp.19-24 |
| CQ, MVE, IE (Joint) [detail] |
2011-03-07 09:55 |
Nagasaki | Yasuragi IOUJIMA | Generation of Facial Expressions from Morphable 3D Face Model
-- Contribution of each PCA Parameter toward generation of arbitrary facial expressions -- Hirotoshi Inomata, Syunta Yamamoto, Yoshinori Inaba, Shigeru Akamatsu (Hosei Univ.) IE2010-162 MVE2010-150 |
Generation of arbitrary facial expressions to 3D face model has been usually achieved by either manual processing of the... [more] | IE2010-162 MVE2010-150 pp.95-100 |
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