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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 50 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SC 2019-06-01
11:30
Ibaraki National Institute for Materials Science Jointly Embedding Knowledge Graph and Feature in Vector Space
Tomu Kadoki, Runhe Huang, Satoru Fujita (Hosei Univ.) SC2019-10
Knowledge Graph, utilized in search engine, can be embed in a low dimensional vector space with knowledge graph embeddin... [more] SC2019-10
pp.55-60
MVE 2018-09-06
15:15
Osaka   Tag recommendation based on the relationship with user popularity on SNS
Xueting Wang, Toshihiko Yamasaki (UTokyo) MVE2018-17
In the content sharing service such as SNS, there are some scores which can express the degree of popularity, such as th... [more] MVE2018-17
pp.25-30
SP 2017-08-30
16:40
Kyoto Kyoto Univ. Extraction of brain activities related to impressions induced by HVAC sound using discriminant non-negative tensor factorization
Hajime Yano (Kobe Univ./AIST), Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.), Masaru Kamiya (DENSO), Seiji Nakagawa (Chiba Univ./AIST) SP2017-33
To evaluate auditory impressions induced by HVAC (heating, ventilation and air conditioning) sound using a predictive mo... [more] SP2017-33
pp.61-66
IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] 2017-02-20
11:30
Hokkaido Hokkaido Univ. A note on quantification of relationship between users and musical pieces using graph structure analysis (2) -- Verification of using link prediction --
Shohei Kinoshita, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a quantification method of relationship between users and musical pieces.Our proposed relationship i... [more]
AI 2017-02-18
15:00
Okayama   Prediction Model for Electric Power Demand in Building on Field Data with Extended Goal Graph and Heterogeneous Mixture Modeling
Noriyuki Kushiro, Ami Fukuda (KIT), Toshihiro Mega (MELTEC), Takuro Shimizu (KIT) AI2016-31
For realizing energy management and demand response in buildings, standardized interfaces, e.g. BACnet and OpenADR, are ... [more] AI2016-31
pp.39-44
AP
(2nd)
2017-01-26
- 2017-01-27
Overseas Malaysia-Japan International Institute of Technology (MJIIT) Estimation of interference between antennas in short range communication using Signal Flow Graph
ThanhPhan Do, Kiyomichi Araki, Jiro Hirokawa, Makoto Ando (Tokyo Tech)
In short-range, the interference due to back-scattering between antennas is a crucial element to determine communication... [more]
VLD, DC, CPSY, RECONF, CPM, ICD, IE
(Joint) [detail]
2016-11-29
10:30
Osaka Ritsumeikan University, Osaka Ibaraki Campus Accurate Lithography Simulation Model based on Deep Learning
Yuki Watanabe, Tetsuaki Matsunawa, Taiki Kimura, Shigeki Nojima (Toshiba) VLD2016-56 DC2016-50
Lithography simulation is an indispensable technology for today's semiconductor manufacturing processes. To achieve accu... [more] VLD2016-56 DC2016-50
pp.73-78
ITE-ME, IE, EMM, LOIS, IEE-CMN [detail] 2016-09-16
14:00
Aichi Aichi Prefectural University A study on the Multiple Label Propagation Algorithm Considering Properties of the LOD
Toshitaka Maki, Kazuki Takahashi, Toshihiko Wakahara, Akihiro Yamaguchi (FIT), Akihisa Kodate (Tsuda), Toru Kobayashi (Nagasaki Univ), Sonehara Noboru (NII) LOIS2016-24 IE2016-61 EMM2016-50
The label propagation is a semi-supervised learning method to grant to classification labels to the nodes under the assu... [more] LOIS2016-24 IE2016-61 EMM2016-50
pp.49-54
SP 2016-08-24
16:15
Kyoto ACCMS, Kyoto Univ. [Poster Presentation] Extraction of brain activity related to auditory impressions induced by HVAC sound using non-negative tensor decomposition
Hajime Yano, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.), Takuya Hotehama (AIST), Masaru Kamiya (DENSO), Seiji Nakagawa (Chiba Univ.) SP2016-34
To evaluate auditory impressions induced by HVAC (heating, ventilation and air conditioning) sound using neurophysiologi... [more] SP2016-34
pp.37-40
MBE, NC
(Joint)
2016-03-23
13:10
Tokyo Tamagawa University A Prediction Method of Epileptic Seizure Using Synchronization Likelihood and Electrocorticography
Sho Akizawa, Takatomi Kubo, Kazushi Ikeda (NAIST) NC2015-102
Epilepsy is a neurological disorder that causes sudden recurrent seizures such as convulsion, loss of conisousness, etc.... [more] NC2015-102
pp.189-194
LOIS 2016-03-03
13:40
Okinawa Central Community Center, Miyakojima-City Proposal and Performance Evaluation of Multiple Label Propagation Algorithm for Linked Open Data Generation
Toshitaka Maki, Toshihiko Wakahara, Akihiro Yamaguchi (FIT), Yu Ichifuji, Noboru Sonehara (NII) LOIS2015-72
In recent years, Linked Open Data (LOD) has been attracting attention in the world. It has been increasing year after ye... [more] LOIS2015-72
pp.51-56
MICT, ASN, MoNA
(Joint)
2016-01-29
14:45
Kanagawa Hotel Okada Human behavior prediction using network-graph based context model in mobile environment
Naoto Kawai, Ryoichi Shinkuma (Kyoto Univ.), Kazuhiro Yamaguchi (KDL) MoNA2015-49
In general, human behaviors depend on contextual factors like location, time, day, and companions. Therefore, it has bee... [more] MoNA2015-49
pp.51-54
IBISML 2015-11-26
15:00
Ibaraki Epochal Tsukuba [Poster Presentation] Halting in Random Walk Kernels
Mahito Sugiyama (Osaka Univ.), Karsten Borgwardt (ETHZ) IBISML2015-63
Random walk kernels measure graph similarity by counting matching walks in two graphs. In their most popular form of geo... [more] IBISML2015-63
pp.75-82
NC, MBE 2015-03-17
10:00
Tokyo Tamagawa University Three-dimensional Fingertip Trajectory Decoded from Electrocorticogram of Human Cerebral Cortex
Yasuhiko Nakanishi (Tokyo Tech), Takufumi Yanagisawa (Osaka Univ), Duk Shin, Hiroyuki Kambara, Natsue Yoshimura (Tokyo Tech), Ryohei Fukuma (ATR), Haruhiko Kishima, Masayuki Hirata (Osaka Univ), Yasuharu Koike (Tokyo Tech) MBE2014-151 NC2014-102
Brain-machine interface technology has a possibility to be applied to practical neuroprosthesis for disabled persons. Fo... [more] MBE2014-151 NC2014-102
pp.195-198
PRMU, CNR 2015-02-20
14:50
Miyagi   Predicting User Demographics and Click Through Rate of Display Ads Applying a Generic Image Recognition Methodology
Kohei Yamamoto (The Univ. of Tokyo), Tetsuya Motegi, Yukihiro Tagami, Hayato Kobayashi, Shingo Ono (Yahoo Japan), Hideki Nakayama (The Univ. of Tokyo) PRMU2014-149 CNR2014-64
In the field of click-through rate (CTR) prediction of pay per click display ads, the latency and the cold-start problem... [more] PRMU2014-149 CNR2014-64
pp.179-184
ISEC, LOIS, SITE 2014-11-22
11:45
Hyogo   Behavior Prediction from Lifelog Data Using A Virtual Communication-Network System
Yusuke Omori, Ryoichi Shinkuma (Kyoto Univ.), Kazuhiro Yamaguchi (KDL), Tatsuro Takahashi (Kyoto Univ.) ISEC2014-66 SITE2014-57 LOIS2014-36
Along with the development of mobile devices, users' daily activities like purchase histories or online access histroies... [more] ISEC2014-66 SITE2014-57 LOIS2014-36
pp.59-64
HPB
(2nd)
2014-02-28
13:25
Tokyo The University of Tokyo (Komaba II) Predicting dangerous situation in smartphone usage during walking based on recent movement history
Tsubasa Saeki, Yuya Okazaki, Shigeki Hosokawa, Kaori Fujinami (TUAT)
A number of traffic accidents have been reported when people are crossing streets and railways during smartphone usage. ... [more]
MI 2013-09-13
14:15
Chiba   [Special Talk] Highly Accurate and Less-Invasive Diagnosis and Treatment for Diseases in Thoracoabdominal Organs
Hideaki Haneishi, Tadashi Yamaguchi, Ryoichi Nakamura, Mikio Suga, Toshiya Nakaguchi, Hiroshi Kawahira, Takashi Ohnishi (Chiba Univ.) MI2013-43
In hepato-biliary-pancreatic region, it is required to find a solid cancer formed in those organs and treat it less-inva... [more] MI2013-43
pp.31-34
EMM 2013-03-08
11:15
Kyoto   Reversible data hiding using linear prediction and error-expansion for audio signals
Akira Nishimura (Tokyo Univ. of Information Sciences.) EMM2012-117
Reversible data hiding is a technique where hidden data are embedded
in host data such that the consistency of the ho... [more]
EMM2012-117
pp.59-64
SDM 2012-11-16
13:50
Tokyo Kikai-Shinko-Kaikan Bldg Effect of a three-dimensional strain field on the electronic band structures of carbon nanotubes and graphene sheets
Ken Suzuki, Masato Ohnishi, Hideo Miura (Tohoku Univ.) SDM2012-110
The prediction of the change in the conductivity of carbon nanotubes (CNTs) under strain is crucially important to assur... [more] SDM2012-110
pp.59-61
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