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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MBE | 2019-07-20 11:20 |
Tokushima | Near future drowsiness prediction using support vector regression analysis of electroencephalogram parameters Izzat Akbar, Arthur Rumagit, Mitaku Utsunomiya, Takamasa Morie, Tomohiko Igasaki (Kumamoto Univ.)  MBE2019-21 |
Traffic accident becomes a global concern recently. One of the causes is drowsy driving. Previous studies tried to solve... [more] | MBE2019-21 pp.13-18 |
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| CPSY | 2017-11-19 15:00 |
Aomori | Aomori Tourist Information Center, ASPAM | [Poster Presentation]
A Programmable Analog Calculation Unit based on Support Vector Regression Renyuan Zhang, Takashi Nakada, Yasuhiko Nakashima (NAIST) CPSY2017-55 |
This work explores an architecture of programmable analog circuitry to calculate arbitrary functions with acceptable acc... [more] | CPSY2017-55 pp.27-32 |
| MICT, ASN, MoNA (Joint) |
2016-01-29 10:15 |
Kanagawa | Hotel Okada | Analysis of Family Electricity Data Obtained by Smart Meters Kazuki Omomo, Yuta Kobiyama, Qiangfu Zhao (Univ. Aizu) ASN2015-90 |
In this paper, by using electricity data obtained by smart meters located in residential houses, we try to predict futur... [more] | ASN2015-90 pp.63-68 |
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2015-02-24 09:30 |
Hokkaido | Hokkaido Univ. | A Preference Estimation Method based on Relationship between Videos and Viewing Behavior
-- Reduction of Performance Degradation for Few Training Pairs -- Yoshiaki Yamaguchi, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (Kushiro-N.C.T.), Miki Haseyama (Hokkaido Univ.) |
In this paper, we propose an efficient preference estimation method based on relationship between video features and use... [more] | |
| EA | 2014-08-19 14:00 |
Miyagi | Tohoku Gakuin Univ. | On a Single-Ended Estimation of Speech Intelligibility using the ITU-T P.563 Feature Set Kazuhiro Kondo, Toshihiro Sakano (Yamagata Univ.), Yosuke Kobayashi (Miyakonojo NCT) EA2014-14 |
We investigated a single-ended speech intelligibility estimation method that does not require clean speech reference sig... [more] | EA2014-14 pp.13-18 |
| 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 |
| IBISML | 2013-11-12 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
Non-Convex Optimization of Robust Support Vector Regression by Utilizing Parametric Programming Shinya Suzumura, Ichiro Takeuchi (Nagoya Inst. of Tech.), Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2013-45 |
In this paper, we propose a novel optimization method for robust support vector regression(SVR) that has robustness to o... [more] | IBISML2013-45 pp.69-75 |
| SP | 2010-06-17 16:45 |
Fukuoka | Kyushu University | Analysis on features and estimators for speech-based age estimation Toshiya Wada, Takahiro Shinozaki, Sadaoki Furui (Tokyo Inst. of Tech.) SP2010-27 |
Age estimation systems can be implemented using either a discrete classifier such as support vector machine (SVM) or... [more] |
SP2010-27 pp.31-36 |
| MBE, NC (Joint) |
2007-12-22 09:50 |
Aichi | Optimizing SVR Hyperparameters via Fast Cross-Validation Masayuki Karasuyama, Ryohei Nakano (Nagoya Inst. of Tech.) NC2007-73 |
The performance of Support Vector Regression (SVR) deeply depends on its hyperparameters such as an insensitive zone thi... [more] | NC2007-73 pp.13-18 |
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| NLP | 2007-11-22 11:55 |
Fukuoka | On Global Convergence of Decomposition Methods for Support Vector Regression Jun Guo (Kyushu Univ./JSPS), Norikazu Takahashi (Kyushu Univ.) NLP2007-96 |
To solve the large size quadratic programming (QP) problems arising in support vector regression (SVR) efficiently, deco... [more] | NLP2007-96 pp.7-12 |
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| MBE | 2007-07-20 13:00 |
Tokushima | Influence of blink on a sleepiness test using "Pupillary Unrest Index" Minoru Nakayama (Tokyo Tech), Keiko Yamamoto, Fumio Kobayashi (Aichi Med. Univ.) MBE2007-23 |
Influence of blinks on the Pupillary Unrest Index (PUI) as a index of pupil's instablity for measuring sleepiness was ... [more] |
MBE2007-23 pp.13-16 |
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| PRMU, DE | 2007-06-29 11:45 |
Hokkaido | Hokkaido Univ. | SVR-based Robust Pose Estimation of 3D Objects under Local Occlusion and Non-stationary Backgrounds Shingo Ando, Akira Suzuki, Takayuki Yasuno (NTT) DE2007-14 PRMU2007-40 |
Several methods for estimating a pose of 3D object from appearance are proposed these days. We proposed SVR-based pose e... [more] | DE2007-14 PRMU2007-40 pp.75-80 |
| NLP | 2006-05-11 13:20 |
Kumamoto | Kumamoto Univ. | Analysis of Convergence Property of an SMO Algorithm for Support Vector Regression Jun Guo, Norikazu Takahashi (Kyushu Univ.), Tetsuo Nishi (Waseda Univ.) |
Sequential minimal optimization (SMO) algorithms for support vector regression (SVR) have recently been proposed. Howeve... [more] | NLP2006-3 pp.9-14 |
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