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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| ITS, IE, ITE-AIT, ITE-HI, ITE-ME [detail] | 2014-02-17 10:05 |
Hokkaido | Hokkaido Univ. | A note on estimating deformation based on Bayesian networks using images from bridge inspection Katsuki Kobayashi, Sho Takahashi, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.) |
This paper presents a method for estimating deformation of bridges based on Bayesian networks. There exist strong relati... [more] | |
| IBISML | 2013-11-12 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
Performance Comparisons between Dependency Networks and Bayesian Networks Kazuya Takabatake, Shotaro Akaho (AIST)  IBISML2013-41 |
Dependency networks are graphical models in which tasks of learning are done by totally local and simple algorithms of i... [more] | IBISML2013-41 pp.39-44 |
| NLC | 2013-09-13 16:05 |
Tokyo | National Olympics Memorial Youth Center | Analogy of television viewers' behavior in the entertainment industry
-- With using sense of value model -- Emiko Fujii, Yoshihide Nishio, Yinjun Hu, Yasuo Tanida (Synergy Marketing) NLC2013-32 |
We propose a new method of integrating behavioral data from different sources into a single statistical model using psyc... [more] | NLC2013-32 pp.93-98 |
| IBISML | 2012-11-07 15:30 |
Tokyo | Bunkyo School Building, Tokyo Campus, Tsukuba Univ. | Feature Selection for LDA using Bayesian Network Ryosuke Ohata, Maomi Ueno (Univ. of Electro-Communications) IBISML2012-53 |
Recently there has been great interest in topic model analyzing discrete data accompanied by arbitrary features, such as... [more] | IBISML2012-53 pp.135-142 |
| IA, SITE, IPSJ-IOT [detail] | 2012-03-16 10:00 |
Hokkaido | Hokkaido Univ. | Development on topic providing system with inference of daily life behavior Seiji Suzuki, Nobuhiko Matsuura (Shizuoka Univ.), Ken Ohta, Hiroshi Inamura (NTT DOCOMO), Tadanori Mizuno (AIT), Hiroshi Mineno (Shizuoka Univ.) SITE2011-43 IA2011-93 |
Recently, it is said that face-to-face communication skills are slipping.In this paper, we propose the topic providing s... [more] | SITE2011-43 IA2011-93 pp.149-154 |
| MBE, NC (Joint) |
2012-03-14 16:50 |
Tokyo | Tamagawa University | Bayesian Network Associative Memories Hiroaki Hasegawa, Masafumi Hagiwara (Keio Univ.) NC2011-146 |
In this paper, we propose Bayesian Network Associative Memories (BNAMs) for modeling associative memories with Bayesian ... [more] | NC2011-146 pp.147-152 |
| ET | 2012-03-10 13:50 |
Kagawa | Motion Classification Method using Probabilistic Graphical Model and Its Application to Working Posture Analysis Masaru Okamoto, Yuko Akai, Yukihiro Matsubara (Hiroshima City Univ.) ET2011-120 |
In this paper, novel probabilistic motion classification method using position data of body measured from various camera... [more] | ET2011-120 pp.113-118 |
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| ET | 2011-12-09 09:10 |
Shizuoka | Toulmin model based Argumentation Support System using Bayesian Network Masaki Uto (UEC), Hiroaki Suzuki (Aoyama Gakuin Univ.), Maomi Ueno (UEC) ET2011-83 |
The purpose of this study is to develop a system which supports a persuasive argumentation. There are many related syste... [more] | ET2011-83 pp.41-46 |
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| IBISML | 2011-11-10 15:45 |
Nara | Nara Womens Univ. | Sequential Network Change Detection with Its Applications to Advertisement Impact Relation Analysis Yu Hayashi, Kenji Yamanishi (Univ. of Tokyo.) IBISML2011-71 |
This paper addresses the issue of network change detection from non-stationary time series data. We employ as a represen... [more] | IBISML2011-71 pp.199-206 |
| IBISML | 2011-06-20 14:30 |
Tokyo | Takeda Hall | Network Change Detection with Its Applications to Advertisement Impact Relation Analysis Yu Hayashi, Kenji Yamanishi (Univ. of Tokyo.) IBISML2011-9 |
This paper addresses the issue of network change detection with its applications to advertisement impact relation analys... [more] | IBISML2011-9 pp.59-66 |
| NC, MBE (Joint) |
2011-03-07 17:15 |
Tokyo | Tamagawa University | Improvement of infant's action recognition accuracy by Bayesian estimation method introducing Bayesian Network
-- Experimental evaluation with supersonic sensor and camera images -- Shozo Ishikawa (UEC), Yoichi Motomura, Yoshifumi Nishida (AIST), Hayaru Shouno (UEC) NC2010-150 |
The purpose of this study is to prevent accident in infants. Therefore, we consider analysis the action of the behavior... [more] |
NC2010-150 pp.137-142 |
| RECONF, VLD, CPSY, IPSJ-SLDM [detail] | 2011-01-17 11:05 |
Kanagawa | Keio Univ (Hiyoshi Campus) | Proposal and Preliminary Evaluation of System Diagnosis Technique for Large-scale Computer Network by Using Bayesian Network Shingo Harashima (Keio Univ.), Hitoshi Yabusaki (Hitachi.LTD), Wataru Sakamoto (Osaka Univ.), Hiroaki Nishi (Keio Univ.) VLD2010-86 CPSY2010-41 RECONF2010-55 |
For the past network which had comparatively low speed links and simple structure, we could identify the cause of system... [more] | VLD2010-86 CPSY2010-41 RECONF2010-55 pp.13-18 |
| HCGSYMPO (2nd) |
2010-12-15 - 2010-12-17 |
Miyazaki | Miyazaki Seagai resort | Analysis of Psychological Stress Factors with Spontaneous Facial Expressions using Bayesian Networks Hiroaki Otsu, Kazuhito Sato, Hirokazu Madokoro (Akita Prefectural Univ.), Sakura Kadowaki (SmartDesign) |
This paper presents a method to create an individual model to describe relations between facial expressions and stress p... [more] | |
| IBISML, PRMU, IPSJ-CVIM [detail] | 2010-09-05 11:40 |
Fukuoka | Fukuoka Univ. | Computational identification of discriminating features of pathogenic and symbiotic Type III secreted effector proteins Koji Yahara, Ying Jiang, Takashi Yanagawa (Kurume Univ.) PRMU2010-62 IBISML2010-34 |
Type III secretion systems (T3SS) deliver bacterial proteins, or "effectors", into eukaryotic host cells, inducing physi... [more] | PRMU2010-62 IBISML2010-34 pp.57-62 |
| USN, IPSJ-UBI | 2010-07-16 09:50 |
Ibaraki | Tsukuba Univ. | The Design of a Relational Data Stream Processing Engine with Probabilistic Reasoning Hideyuki Kawashima, Hiroyuki Kitagawa, Ryo Sato (Univ. of Tsukuba) USN2010-18 |
The purpose of this paper is to appropriately incorporate Bayesian networks into a relational stream processing system ... [more] |
USN2010-18 pp.109-114 |
| NC, MBE (Joint) |
2010-03-11 10:40 |
Tokyo | Tamagawa University | One Method of Sparse-coding Using BESOM Yuuji Ichisugi (AIST), Haruo Hosoya (Univ. of Tokyo) NC2009-146 |
BESOM model is a computational model of cerebral cortex based on Bayesian network. We introduced a mechanism of sparse... [more] |
NC2009-146 pp.345-350 |
| NC, MBE (Joint) |
2010-03-11 09:50 |
Tokyo | Tamagawa University | Modeling and understanding structure of everyday life behavior by normalizing life protocol data using ICF code Kosei Shiraishi (Tokyo Univ. of Science/AIST), Yoshifumi Nishida, Yoichi Motomura (AIST), Yayoi Okawa (NCGG), Hiroshi Mizoguchi (Tokyo Univ. of Science/AIST) NC2009-161 |
Development of everyday life supporting technology requires understanding structure of everyday life functions, which me... [more] | NC2009-161 pp.431-436 |
| PRMU, SP, MVE, CQ | 2010-01-22 09:20 |
Kyoto | Kyoto Univ. | Estimation of Driving Behaviors at Intersections Hideomi Amata, Chiyomi Miyajima, Takanori Nishino, Norihide Kitaoka, Kazuya Takeda (Nagoya Univ.) CQ2009-87 PRMU2009-186 SP2009-127 MVE2009-109 |
In this paper, we investigated the differences in driving behaviors at unsignalized intersections between expert and non... [more] | CQ2009-87 PRMU2009-186 SP2009-127 MVE2009-109 pp.213-218 |
| NLP | 2009-12-21 13:50 |
Iwate | A Searching Method of Plural Dynamic Bayesian Networks Structures Using an Evolutionary Algorithm Kousuke Shibata, Hidehiro Nakano, Arata Miyauchi (Tokyo City Univ.) NLP2009-132 |
In this paper, the author presents an Immune Algorithm(IA) for learning the network structure of DBNs. In the convention... [more] | NLP2009-132 pp.33-36 |
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| USN, IPSJ-UBI | 2009-07-16 14:30 |
Kyoto | ATR (Kyoto) | Applying a Probabilistic Inference Stream Processing Engine to a Camera Sensor Network Ryo Sato, Hideyuki Kawashima, Hiroyuki Kitagawa (Univ. of Tsukuba) USN2009-20 |
The purpose of this paper is to appropriately incorporate Bayesian networks into a relational stream processing system ... [more] |
USN2009-20 pp.69-74 |
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