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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
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Committee Date Time Place Paper Title / Authors Abstract Paper #
BioX 2023-10-12
Okinawa Nobumoto Ohama Memorial Hall Effectiveness and Robustness of Indices for Personal Identification Using Human Random Sequence
Kenta Matsura, Ken-ichi Sawai (Kyushu Univ.)
(To be available after the conference date) [more]
EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] 2023-07-24
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
NLP, MSS 2023-03-16
(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
SDM 2020-11-19
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
IMQ, HIP 2018-07-20
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
R 2015-06-19
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
SP, WIT, ASJ-H 2014-06-19
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
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
SP 2014-02-28
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
EMM, ISEC, SITE, ICSS, IPSJ-CSEC, IPSJ-SPT [detail] 2013-07-19
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
NC, NLP 2013-01-25
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
AP 2012-12-13
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
EA 2012-12-14
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
ISEC, IPSJ-CSEC, SITE, ICSS, EMM, IPSJ-SPT [detail] 2011-07-12
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
ET 2011-03-04
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
NC, NLP 2011-01-25
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
IBISML 2010-11-05
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
NLP 2009-12-21
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
MBE 2009-05-22
Toyama Toyama Univ. An Attempt of a Novel Calibration Method for Pulse Oximetry Using Support Vector Machines Non-Linear Regression
Hirotaka Nomoto, Mitsuhiro Ogawa (Kanawaza Univ), Yasuhiro Yamakoshi (yu.sys Corp.), Masamichi Nogawa, Takehiro Yamakoshi, Kosuke Motoi, Shinobu Tanaka, Ken-ichi Yamakoshi (Kanawaza Univ) MBE2009-2
A new calibration method using a non linear multivariate regression method, support vector machines regression (SVMsR) o... [more] MBE2009-2
NLP 2008-11-06
Aichi   Reinforcement Learning for High-dimensional Action Space -- Action Space Compression Based on Principal Component Analysis --
Hideki Satoh (Future Univ.-Hakodate) NLP2008-64
Adaptive basis construction, state space compression, and action space compression are used to extend reinforcement lear... [more] NLP2008-64
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