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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MW | 2024-03-01 14:55 |
Okayama | Okayama Prefectural University (Primary: On-site, Secondary: Online) |
[Special Talk]
Quantitative Analysis of Glucose and Albumin in Multicomponent Aqueous Solution by Microwave Broadband Dielectric Spectroscopy Masahito Nakamura (NTT)  MW2023-196 |
Dielectric spectroscopy is a potential tool for novel nondestructive and noninvasive sensing applications. In this paper... [more] | MW2023-196 pp.110-114 |
| PRMU, IPSJ-CVIM, IPSJ-DCC, IPSJ-CGVI | 2023-11-16 16:50 |
Tottori | (Primary: On-site, Secondary: Online) |
Flood forecasting in Matsue City using statistical methods Kazuki Yamamoto, Hitoshi Sakano, Hiroshi Yajima (Shimane Univ.) PRMU2023-23 |
In this study, we applied a statistical modeling approach to flood forecasting in rivers within Matsue City, examining a... [more] | PRMU2023-23 pp.43-46 |
| BioX | 2023-10-12 16:35 |
Okinawa | Nobumoto Ohama Memorial Hall | Effectiveness and Robustness of Indices for Personal Identification Using Human Random Sequence Kenta Matsura, Ken-ichi Sawai (Kyushu Univ.) BioX2023-62 |
Random sequences which a person generated without any extrinsic cues are called human random sequences. Human random seq... [more] | BioX2023-62 pp.21-25 |
| EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] | 2023-07-24 18:00 |
Hokkaido | Hokkaido Jichiro Kaikan | A security analysis on MQ-Sign submitted to Korean Post-Quantum Cryptography standardization Yasuhiko Ikematsu (Kyushu Univ.), Hyungrok Jo (YNU), Takanori Yasuda (OUS) ISEC2023-31 SITE2023-25 BioX2023-34 HWS2023-31 ICSS2023-28 EMM2023-31 |
MQ-Sign is a variant of the UOV singature scheme proposed by Shim et al. It has been suggested as a candidate for the st... [more] | ISEC2023-31 SITE2023-25 BioX2023-34 HWS2023-31 ICSS2023-28 EMM2023-31 pp.113-118 |
| NLP, MSS | 2023-03-16 16:25 |
Nagasaki | (Primary: On-site, Secondary: Online) |
Case Study of Development of Railway Congestion Forecasting System Using AI and Human Pair Programming System Tomoya Fukada, Mohd Anuaruddin Bin Ahmadon, Shingo Yamaguchi (Yamaguchi Univ.) MSS2022-92 NLP2022-137 |
This paper introduces the development of a railway congestion forecasting system using an AI-human pair pro- gramming sy... [more] | MSS2022-92 NLP2022-137 pp.140-143 |
| SDM | 2020-11-19 14:10 |
Online | Online | [Invited Talk]
Prediction model of dielectric constants of perovskite-type oxides by first-principles calculations and materials informatics Yusuke Noda (Kanazawa Gakuin Univ.) SDM2020-25 |
The aim of this study is to clarify the relationship between the dielectric constants and other physical and chemical pr... [more] | SDM2020-25 pp.15-20 |
| IMQ, HIP | 2018-07-20 13:30 |
Hokkaido | Sapporo City University, Satellite Campus | [Invited Lecture]
Inpainting based on low-dimensional image approximation and its applications Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) IMQ2018-5 HIP2018-32 |
This paper introduces inpainting based on low-dimensional image approximation and its applications. Specifically, low-di... [more] | IMQ2018-5 HIP2018-32 pp.1-4 |
| R | 2015-06-19 13:30 |
Tokyo | On a generalization of RBF networks by FGM copula Shuhei Ota, Mitsuhiro Kimura (Hosei Univ.) R2015-10 |
First we extend the traditional RBF (radial basis function) network to improve the applicability for nonlinear multivari... [more] | R2015-10 pp.1-6 |
|
| SP, WIT, ASJ-H | 2014-06-19 17:15 |
Ishikawa | Adaptive Speech Analysis Method Using Multivariate Empirical Mode Decomposition in Frequency Domain Surasak Boonkla, Masashi Unoki (JAIST) SP2014-54 WIT2014-9 |
In this paper, we propose a novel method for speech analysis using multivariate empirical mode decomposition (MEMD) base... [more] | SP2014-54 WIT2014-9 pp.45-50 |
|
| NC, MBE (Joint) |
2014-03-17 15:40 |
Tokyo | Tamagawa University | Temporal relationship between object category representation and the level of category abstraction in the human visual cortex Masashi Sato, Yoichi Miyawaki (UEC) NC2013-128 |
Object categories can be hierarchically ordered from abstract to concrete levels. Previous studies showed that the corre... [more] | NC2013-128 pp.227-232 |
| SP | 2014-02-28 13:50 |
Tokushima | The University of Tokushima | [Invited Talk]
Non-negative matrix factorization and its applications to time series processing Hirokazu Kameoka (Univ. Tokyo/NTT) SP2013-116 |
In this paper, I will give a brief introduction to a data analysis technique called non-negative matrix factorization (N... [more] | SP2013-116 pp.31-36 |
| EMM, ISEC, SITE, ICSS, IPSJ-CSEC, IPSJ-SPT [detail] | 2013-07-19 11:05 |
Hokkaido | Cryptanalysis of Rainbow Signature
-- Enrico, you should have hacked further -- Masahito Gotaishi, Shigeo Tsujii (Chuo Univ.) ISEC2013-39 SITE2013-34 ICSS2013-44 EMM2013-41 |
Thomae et al. have proposed cryptanalysis of Rainbow, a multivariate public key signature system. The methodology of so... [more] |
ISEC2013-39 SITE2013-34 ICSS2013-44 EMM2013-41 pp.275-279 |
|
| NC, NLP | 2013-01-25 10:50 |
Hokkaido | Hokkaido University Centennial Memory Hall | Estimation of network structures from marked point process using spike time metric Kaori Kuroda, Kantaro Fujiwara, Tohru Ikeguchi (Saitama Univ.) NLP2012-129 NC2012-119 |
In the real world, additional information with event sequences can be essential for several complex phenomena, for examp... [more] | NLP2012-129 NC2012-119 pp.143-148 |
| AP | 2012-12-13 14:30 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Multivariate Regression Analysis for Estimating the Channel Capacity of Small MIMO Antennas Regarding Correlation, Power Imbalance, and SNR Takeshi Kitamura, Kazuhiro Honda, Koichi Ogawa (Toyama Univ.) AP2012-121 |
A method of the evaluation of MIMO channel capacity has been proposed. In the first step of our study, the channel capac... [more] | AP2012-121 pp.23-28 |
| EA | 2012-12-14 14:20 |
Tokyo | National Institute of Informatics | [Invited Talk]
Non-negative matrix factorization and its applications to audio signal processing Hirokazu Kameoka (University of Tokyo/NTT) EA2012-118 |
In this paper, I will give a brief introduction to a data analysis technique called non-negative matrix factorization (N... [more] | EA2012-118 pp.53-58 |
| ISEC, IPSJ-CSEC, SITE, ICSS, EMM, IPSJ-SPT [detail] | 2011-07-12 15:25 |
Shizuoka | Shizuoka University | Study on person profile about coping behavior under virus infected situation Hiroaki Kanda, Noriaki Yoshikai, Shun-ichi Kurino (Nihon University) ISEC2011-13 SITE2011-10 ICSS2011-18 EMM2011-12 |
A virus infection situation can be considered a kind of state of panic. Although many reports about panic phenomena hav... [more] | ISEC2011-13 SITE2011-10 ICSS2011-18 EMM2011-12 pp.25-30 |
| ET | 2011-03-04 09:15 |
Tokushima | To improve multicollinearity in cluster analysis Ryousuke Namiki, Kanae Taniguchi (Kinki Univ. of Technical Coll) ET2010-91 |
In this case of applying a cluster analysis to multivariate data like questionary, it is difficult to divide clusters wh... [more] | ET2010-91 pp.1-4 |
|
| NC, NLP | 2011-01-25 14:35 |
Hokkaido | Hokakido Univ. | Waveform Recognition under Noise Environment Based on Reward Weighted Principal Component Analysis Takeshi Nagashima, Hideki Satoh (Future Univ. Hakodate) NLP2010-150 NC2010-114 |
We developed a linear filer that eliminates disturbance noise and redundant information using reward weighted principal ... [more] | NLP2010-150 NC2010-114 pp.147-151 |
| IBISML | 2010-11-05 15:30 |
Tokyo | IIS, Univ. of Tokyo | [Poster Presentation]
A Study on Multiple Multivariate Two-Sample Test for Gene Set Analysis using MST-based SVM Path-Following Yuta Ishikawa, Kota Isobe, Masayuki Karasuyama, Taisuke Izumi, Ichiro Takeuchi (NIT) IBISML2010-88 |
Microarray technology enables us to measure expression levels of thousands of genes simultaneously. We consider how to f... [more] | IBISML2010-88 pp.211-220 |
| NLP | 2009-12-21 14:25 |
Iwate | High-dimensional Nonlinear Time Series Prediction with Reinforcement Learning Baku Takaiwa, Hideki Satoh (Future Univ. Hakodate) NLP2009-133 |
We extracted principal elements from several nonlinear time series and reduced the prediction error of the time series u... [more] | NLP2009-133 pp.37-42 |
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