| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| DE, IPSJ-DBS | 2019-12-24 16:55 |
Tokyo | National Institute of Informatics | Yuichiro Sakazaki, Rin Adachi, Jun Rokui (univ. of Shizuoka)  DE2019-32 |
We proposed a model that integrates several types of data by multiple regression analysis and performs future prediction... [more] | DE2019-32 pp.93-98 |
| HCGSYMPO (2nd) |
2019-12-11 - 2019-12-13 |
Hiroshima | Hiroshima-ken Joho Plaza (Hiroshima) | Temporal Segmentation of Continuous Facial Expressions Based on Time-series 3D Data Measured for Sparse Facial Feature Points Kentaro Yasuda, Shinjiro Iemitsu, Shigeru Akamatsu (Hosei Univ.) |
Temporal segmentation of a time-series sequence of facial expressions into utterance units remains a critically unsolved... [more] | |
| NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] | 2019-06-17 16:15 |
Okinawa | Okinawa Institute of Science and Technology | Imputation of Missing Time-Series Multimodal Data with Variational Autoencoder Ryoichi Kojima, Shinya Wada, Kiyohito Yoshihara (KDDI Research) IBISML2019-8 |
Data is often missing and that results in negative effects on subsequent data analysis and creating machine learning mod... [more] | IBISML2019-8 pp.51-55 |
| ET | 2018-05-19 11:20 |
Kanagawa | National Institute of Special Needs Education | Sharing the results of a Moodle course material clickstream analysis and examining its effect on students Konomu Dobashi (Aichi Univ.) ET2018-5 |
A face-to-face blended-type lesson was previously carried out using Moodle in PC classes attended by a large number of s... [more] | ET2018-5 pp.23-28 |
| IBISML | 2018-03-06 11:15 |
Fukuoka | Nishijin Plaza, Kyushu University | Selecting discriminative and representative patterns from sequence data: an approach based on classification model and morse complex Masayuki Karasuyama (Nagoya Inst. of Tech./NIMS/JST), Ichiro Takeuchi (Nagoya Inst. of Tech./NIMS/RIKEN) IBISML2017-101 |
We study classification problem on the sequences of continuous observations. In particular, we are interested in identif... [more] | IBISML2017-101 pp.77-84 |
| ET | 2018-03-03 16:05 |
Kochi | Kochi University of Technology (Eikokuji Campus) | Modeling the temporal change of student proficiency using records in e-learning Midori Kodama, Takahiro Hata, Ippei Shake (NTT) ET2017-132 |
Estimating student’s proficiency from the records of learning system is the key technology to provide adaptive learning ... [more] | ET2017-132 pp.249-252 |
| CAS, MSS, IPSJ-AL [detail] | 2017-11-16 16:30 |
Tokyo | Logic to represent change of event frequency Osamu Takaki (Gunma Univ.) CAS2017-49 MSS2017-33 |
The purpose of this paper is to introduce a temporal logic that consists of a formal language and semantics to represent... [more] | CAS2017-49 MSS2017-33 pp.57-62 |
|
| VLD, DC, CPSY, RECONF, CPM, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC (Joint) [detail] |
2017-11-07 15:20 |
Kumamoto | Kumamoto-Kenminkouryukan Parea | Prospects of an Error-Correction Technique of Intra-Chip Data Transmission Using Time-Series Feature Kentaro Kato, Masanori Natsui, Takahiro Hanyu (Tohoku Univ.) CPM2017-85 ICD2017-44 IE2017-70 |
This paper presents a top-down error-correction technique of intra-chip data transmission using time-series feature extr... [more] | CPM2017-85 ICD2017-44 IE2017-70 pp.33-38 |
| PRMU, IE, MI, SIP | 2017-05-25 17:00 |
Aichi | [Special Talk]
Real-time Forecasting of Big Time-series Data: Foundations and Challenges Yasushi Sakurai (Kumamoto Univ.) SIP2017-11 IE2017-11 PRMU2017-11 MI2017-11 |
Time-series data analysis is an important topic that has attracted huge interest in countless domains. Given a large col... [more] | SIP2017-11 IE2017-11 PRMU2017-11 MI2017-11 p.61 |
|
| SP, SIP, EA | 2017-03-01 15:55 |
Okinawa | Okinawa Industry Support Center | [Invited Talk]
Multikernel Adaptive Filtering: Signal Processing and Machine Learning Masahiro Yukawa (Keio Univ.) EA2016-113 SIP2016-168 SP2016-108 |
We present the multikernel adaptive filtering and introduce its recent advances. Multikernel adaptive filtering is a rec... [more] | EA2016-113 SIP2016-168 SP2016-108 pp.177-182 |
| IA, IN (Joint) |
2016-12-15 13:35 |
Hiroshima | Hiroshima city university | [Invited Talk]
Real-time Modeling and Forecasting of Big Time-series Data Yasuko Matsubara (Kumamoto Univ.) IN2016-70 IA2016-64 |
Time-series data analysis is becoming of increasingly high importance, thanks to the decreasing cost of hardware and the... [more] | IN2016-70 IA2016-64 pp.23-28(IN), pp.5-10(IA) |
| EA, ASJ-H | 2015-08-04 10:00 |
Miyagi | Tohoku Univ., Research Inst. of Electrical Communication | On Development of an Estimation Model for Instantaneous Presence in Audio-visual Content Shota Tsukahara, Kenji Ozawa, Yuichiro Kinoshita, Masanori Morise (Univ. Yamanashi) |
The sense of presence is often used to evaluate the performances of audio-visual (AV) content and systems. However, a pr... [more] | EA2015-17 pp.41-46 |
| ET | 2015-06-06 15:25 |
Mie | Faculty of Engineering, Mie Univ. | Time-series analysis using cross tabulation for looking through teacher's instruction and students' reaction from the page view history of digital teaching materials Konomu Dobashi (Aichi Univ.) ET2015-20 |
In this paper, we conducted a time-series analysis on the blended learning that is carried out in the classroom by utili... [more] | ET2015-20 pp.55-60 |
| MoNA, ASN, IPSJ-MBL, IPSJ-UBI (Joint) [detail] |
2015-03-02 13:45 |
Tokyo | Shibaura Institute of Technology(Toyosu Campus) | A classification of environmental sensor using a time-series data analysis Yukio Kikuya (NTT) ASN2014-161 |
This report is proposed the technology that can classify environmental sensors semi-automatically using time-series data... [more] | ASN2014-161 pp.103-108 |
| LOIS, IPSJ-DC (Joint) |
2014-07-24 15:30 |
Tokyo | An investigation of the life-log analysis methods for early detection of Alzheimer-type dementia Akiyo Matsumoto, Yasunobu Sakamoto, Shigeru Matsuzawa, Atsushi Takeda, Shinsuke Takahashi (Tohoku Gakuin Univ.) LOIS2014-12 |
We developed an app for Android tablets and a database server. The purpose is early detection of dementia. Its function ... [more] | LOIS2014-12 pp.7-10 |
|
| ASN | 2014-05-29 14:30 |
Tokyo | Convention Hall, RCAST, The University of Tokyo | [Poster Presentation]
A proposal for an agricultural environmental control system based on wireless sensor networks and machine learning Yukimasa Kaneda, Hirofumi Ibayashi, Yuya Suzuki (Shizuoka Univ.), Naoki Oishi (Research Institute of Agric.), Hiroshi Mineno (Shizuoka Univ.) ASN2014-22 |
In recent years , agricultural support using ICT has been actively conducted.An example of such system is monitoring env... [more] | ASN2014-22 pp.75-76 |
| LOIS, IPSJ-CN, IPSJ-SPT | 2014-05-15 14:30 |
Tokyo | A Study for Detection of User Terminal Operations by Classifying Time-Series Packets Data Pattern Erika Ashikaga, Shigekuni Kondo, Motonori Tamaki, Takuya Indo (NTT) LOIS2014-4 |
Researches of lifelog obtained at office area (so-called "office-lifelog") have attracted attention in recent years. The... [more] | LOIS2014-4 pp.45-50 |
|
| NLP | 2014-01-21 11:00 |
Hokkaido | Niseko Park Hotel | Automated Forex Trading System Using the Nonlinear Portfolio Model Hirotake Wachi, Vu Tat Thanh, Satoshi Inose (Ibaraki Univ.), Atsushi Kannari (MS&AD), Tomoya Suzuki (Ibaraki Univ.) NLP2013-132 |
In our previous studies (S.Inose, 2013) the nonlinear portfolio model was proposed and its usefulness was confirmed in s... [more] | NLP2013-132 pp.19-24 |
| NC, NLP | 2013-01-24 14:10 |
Hokkaido | Hokkaido University Centennial Memory Hall | Characterizing financial crisis by means of the Three states random field Ising model Mitsuaki Murota, Jun-ichi Inoue (Hokkaido Univ.) NLP2012-115 NC2012-105 |
We extend the formulation of time-series prediction using Ising model given by Kaizouji (2001) or Higano et.al. (2012) b... [more] | NLP2012-115 NC2012-105 pp.67-72 |
| IBISML | 2012-03-12 16:30 |
Tokyo | The Institute of Statistical Mathematics | Canonical Multiple Sequence Alignment for High-dimensional Multiple Time-series Analysis Takamitsu Matsubara (NAIST/ATR), Jun Morimoto (ATR) IBISML2011-96 |
Temporal alignment of time series is a fundamental problem as the first step for many purposes. Especially, the techniqu... [more] | IBISML2011-96 pp.63-68 |
[Return to Top Page]