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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 09:00 |
Okinawa | [Poster Presentation]
Optimization of Outdoor Loudspeaker Level Based on U50 for Disaster Prevention Administrative Radio Ryouichi Nishimura (NICT), Shuichi Sakamoto (Tohoku Univ.), Yoshifumi Chisaki (Chiba Inst. of Tech.), Zhenglie Cui (Tohoku Univ.)  EA2017-146 SIP2017-155 SP2017-129 |
Announcement through outdoor loudspeakers of disaster prevention administrative radio is important not only for early wa... [more] | EA2017-146 SIP2017-155 SP2017-129 pp.245-250 |
|
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-20 11:25 |
Okinawa | [Short Paper]
Development of a segmentation algorithm for a MARS Spectral CT volume of a mouse Takahiro Kubo (TUAT), Mahdieh Moghiseh, Anthony Butler, Raja Aamir (UOC), Atushi Saito, Akinobu shimizu (TUAT) MI2017-92 |
(To be available after the conference date) [more] | MI2017-92 pp.99-100 |
|
| MSS, NLP (Joint) |
2018-03-14 13:25 |
Osaka | Application of Tree based Model to a Model for Data Generation and Verification of Induced Rules and its Considerations Shoya Kawaguchi, Yuichi Kato (Shimane Univ.), Tetsuro Saeki (Yamaguchi Univ.) MSS2017-92 |
A conventional tree based method is a statistical method of constructing a classification model while recursively dividi... [more] | MSS2017-92 pp.77-82 |
|
| IBISML | 2018-03-05 13:25 |
Fukuoka | Nishijin Plaza, Kyushu University | Information Geometry of Modal Linear Regression Keishi Sando (Univ. of Tsukuba), Shotaro Akaho (AIST), Noboru Murata (Waseda Univ.), Hideitsu Hino (Univ. of Tsukuba) IBISML2017-91 |
(To be available after the conference date) [more] | IBISML2017-91 pp.7-14 |
| RCS, SR, SRW (Joint) |
2018-02-28 15:40 |
Kanagawa | YRP | A community-based anomaly detection system by the synergetic use of mobile sensing and delay tolerant networks with cooperative data processing technique Yoshito Watanabe, Yozo Shoji (NICT) SR2017-115 |
This paper proposes a novel cooperative anomaly detection system that uses mobile sensing and delay tolerant network (DT... [more] | SR2017-115 pp.25-30 |
| IBISML | 2017-11-10 13:00 |
Tokyo | Univ. of Tokyo | The Classification Problem in Generalized Label Noise Model Tota Suko, Shunsuke Horii (Waseda Univ) IBISML2017-87 |
In classification problem, there is a case where noise is added to the label. In this study, we proposes a general nois... [more] |
IBISML2017-87 pp.377-382 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-15 10:30 |
Tokyo | Experimental Analysis of Variational Bayesian Method in Model Selection of Gaussian Mixture Model by Singular Bayesian Information Criterion Naoki Hayashi (Tokyo Tech), Fumito Nakamura (Bosch) PRMU2017-41 IBISML2017-13 |
A Gaussian mixture model (GMM) is a statistical model used in various fields such a pattern recognition, thus, it is imp... [more] | PRMU2017-41 IBISML2017-13 pp.19-26 |
|
| PRMU, IE, MI, SIP | 2017-05-26 11:30 |
Aichi | Improvement of LLAH by high-speed character area estimation in captured document image
-- Fast estimation of characters and noise and image normalization -- Kohei Miyamoto, Masakazu Iwamura, Koichi Kise (Osaka Pref. Univ.) SIP2017-23 IE2017-23 PRMU2017-23 MI2017-23 |
(To be available after the conference date) [more] | SIP2017-23 IE2017-23 PRMU2017-23 MI2017-23 pp.119-124 |
|
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2017-02-21 13:30 |
Hokkaido | Hokkaido Univ. | Estimation of Traffic Flow from OD Travel Time Data based on Successive Application of BPR Functions
-- Estimation of Traffic Flow from Probe Data -- Kensuke Hida, Ryo Hirofuji, Takayoshi Yokota (Tottori Univ.) ITS2016-69 IE2016-127 |
Probe car systems including ETC2.0 have been deployed and traffic information systems are widely used. In this report, ... [more] |
ITS2016-69 IE2016-127 pp.375-379 |
| SP, IPSJ-SLP, NLC, IPSJ-NL (Joint) [detail] |
2016-12-20 15:10 |
Tokyo | NTT Musashino R&D | [Poster Presentation]
Fast algorithm for statistical phrase/accent command estimation based on generative model incorporating spectral features Ryotaro Sato (The Univ. of Tokyo), Hirokazu Kameoka, Kunio Kashino (NTT) SP2016-56 |
On the basis of the Fujisaki model, we propose a fast algorithm for estimating the model parameters, namely, the timings... [more] | SP2016-56 pp.43-48 |
| CCS | 2016-11-04 11:15 |
Kyoto | Kyoto Sangyo Univ. (Musubiwaza Bldg.) | Unsupervised Learning with Spike-Timing Dependent Delay Learning Model Takashi Matsubara (Kobe Univ.) CCS2016-32 |
Precious timing of neuronal spikes is considered to play an important role in signal transmission and processing in cent... [more] | CCS2016-32 pp.13-16 |
| MICT, WBS | 2016-07-20 12:30 |
Tokyo | Ｔｏｋyo Institute of Technology | [Poster Presentation]
A study on blind channel estimation by EM algorithm for OFDM systems with multi-QAM Hirokazu Abe, Masahiro Fujii (Utsunomiya Univ.), Takanori Iwamatsu (Fujitsu Telecom Networks), Hiroyuki Hatano, Atsushi Ito, Yu Watanabe (Utsunomiya Univ.) WBS2016-17 MICT2016-18 |
We have investigated a blind channel estimation method based on the EM algorithm so far. Since the conventional method ... [more] |
WBS2016-17 MICT2016-18 pp.33-38 |
| PRMU, CNR | 2016-02-21 14:00 |
Fukuoka | Parameter sharing structures of separable lattice HMMs using mixture output distributions for image recognition Masato Sukegawa, Kei Sawada, Kei Hashimoto, Yoshihiko Nankaku, Keiichi Tokuda (Nagoya Inst. of Tech.) PRMU2015-138 CNR2015-39 |
In image recognition systems, it is important to deal with geometrical variations such as size and location. Separable l... [more] | PRMU2015-138 CNR2015-39 pp.37-42 |
|
| PRMU, IPSJ-CVIM, MVE [detail] | 2016-01-22 15:35 |
Osaka | A Note on the Computational Complexity Reduction Method of the Optimal Prediction under Bayes Criterion in Semi-Supervised Learning Yuto Nakano, Shota Saito, Toshiyasu Matsushima (Waseda Univ.) PRMU2015-130 MVE2015-52 |
In this paper, we deal with a prediction problem of the semi-supervised learning based on the statistical decision theor... [more] | PRMU2015-130 MVE2015-52 pp.275-280 |
|
| RCC, ITS, WBS | 2015-12-17 13:30 |
Okinawa | Okinawa Industry Support Center | [Poster Presentation]
A Study on Blind Channel Estimation by EM Algorithm for OFDM Systems Hirokazu Abe, Masahiro Fujii (Utsunomiya Univ.), Takanori Iwamatsu (Fujitsu Telecom Networks), Hiroyuki Hatano, Atsushi Ito, Yu Watanabe (Utsunomiya Univ.) WBS2015-53 ITS2015-25 RCC2015-55 |
It is necessary to estimate the channel state information coherently to equalize the received signal in wireless communi... [more] | WBS2015-53 ITS2015-25 RCC2015-55 pp.79-84 |
| RCC, ASN, RCS, NS, SR (Joint) |
2015-07-30 10:30 |
Nagano | JA Naganoken Bldg. | [Poster Presentation]
Parameter Control Method for Physical Wireless Parameter Conversion Sensor Networks based on Estimated Mixture Distribution Taiki Nakayama, Takeo Fujii (UEC), Osamu Takyu (Shinshu Univ.), Mai Ohta (Fukuoka Univ.) RCC2015-33 NS2015-53 RCS2015-116 SR2015-34 ASN2015-43 |
We have proposed a physical wireless parameter conversion method for Wireless Sensor Networks (WSNs). In this method, ea... [more] | RCC2015-33 NS2015-53 RCS2015-116 SR2015-34 ASN2015-43 pp.91-96(RCC), pp.95-100(NS), pp.93-98(RCS), pp.109-114(SR), pp.131-136(ASN) |
| KBSE | 2015-01-27 13:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Development of an Android application for venous analysis based on the EM algorithm Masashi Iwase, Minoru Fukumi, Koji Kashihara (The Univ. of Tokushima) KBSE2014-48 |
An early detection of the deep vein thrombosis becomes crucial especially at the time of disaster. An ultrasonic or X-ra... [more] | KBSE2014-48 pp.55-60 |
| RCS, NS (Joint) |
2014-12-19 09:50 |
Mie | Iseshi-Kanko-Bunka-Kaikan (Mie) | Single-Carrier Multi-User MIMO with Time-Domain Transmit Equalization and THP Applying M Algorithm Based Perturbation Vector Search Shohei Yoshioka, Shinya Kumagai, Fumiyuki Adachi (Tohoku Univ.) RCS2014-253 |
In a combination of broadband single-carrier (SC) block transmission with transmit equalization (TE) and multi-user (MU)... [more] | RCS2014-253 pp.195-200 |
| MBE, NC (Joint) |
2014-11-21 11:50 |
Miyagi | Tohoku University | Hyper-parameter estimation for compressive sensing with a Bernoulli-Gauss prior distribution Toshiyuki Watanabe, Jun-ichi Inoue (Hokkaido Univ.) NC2014-28 |
Compressive sensing is a theory that estimates sparse information signals which has few non-zero elements from less ... [more] |
NC2014-28 pp.15-20 |
| RCS | 2014-10-17 10:45 |
Kanagawa | Keio Univ. | Study on decoding complexity reduction of chaos MIMO transmission scheme by applying M-algorithm Eiji Okamoto, Yuma Inaba (NITech) RCS2014-181 |
Chaos multiple-input multiple-output (C-MIMO) scheme is a wireless transmission scheme in which both of encryption and c... [more] | RCS2014-181 pp.141-146 |
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