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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IT, EMM | 2022-05-18 13:30 |
Gifu | Gifu University (Primary: On-site, Secondary: Online) |
Optimal measurement preserving map for quantum state estimation and hypothesis testing Jun Suzuki (UEC)  IT2022-13 EMM2022-13 |
In this work we first introduce a notion of optimal decision preserving map for classical statistical decision theory, w... [more] | IT2022-13 EMM2022-13 pp.67-72 |
| IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] | 2022-02-21 15:50 |
Online | Online | Statistical Analysis on Estimation of Laparoscopic Image Region of Interest Including Contrast Enhancement Based on Saliency Map Norifumi Kawabata (Hokkaido Univ.), Toshiya Nakaguchi (Chiba Univ.) ITS2021-34 IE2021-43 |
In the medical field such as hospital, there are many chance for medical workers to see medical images visually. Therefo... [more] | ITS2021-34 IE2021-43 pp.55-60 |
| SR | 2021-05-20 10:50 |
Online | Online | Statistic Sample Size Determination for Average Received Signal Power Using Statistical Inference Keita Katagiri, Takeo Fujii (UEC) SR2021-3 |
Nowadays, a crowdsourcing-assisted radio map has attracted attention. In crowdsourcing, distributed mobile terminals obs... [more] | SR2021-3 pp.16-23 |
| SANE, SAT (Joint) |
2021-02-19 15:20 |
Online | Online | Statistical Channel Estimation Scheme for Helicopter Satellite Communication Masafumi Sai, Toshiharu Kojima (UEC) SAT2020-39 |
In helicopter satellite communications, the rotor blades periodically block the communication channel. This periodic ch... [more] |
SAT2020-39 pp.54-57 |
| NC, MBE (Joint) |
2020-03-05 13:00 |
Tokyo | University of Electro Communications (Cancelled but technical report was issued) |
Bayesian learning curve for the case when the optimal distribution is not unique Shuya Nagayasu, Sumio Watanabe (Tokyo Tech) NC2019-94 |
Bayesian inference is a widely used statistical method. Asymptotic behaviors of generalization loss and free energy in B... [more] | NC2019-94 pp.107-112 |
| R | 2019-12-13 14:25 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Statistical method of estimating the date when school lunch caused mass food poisoning was supplied Mitsuhiro Kimura (Hosei Univ.), Shuhei Ota (Kanagawa Univ.) R2019-51 |
We focus on estimating the date when school lunch caused mass food poisoning was supplied. In the literature, a log-norm... [more] | R2019-51 pp.7-12 |
| NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] | 2019-06-17 15:25 |
Okinawa | Okinawa Institute of Science and Technology | Optimal Estimating the Number of Change Points for Sources with Piecewise Constant parameters under Bayesian Criterion Kairi Suzuki, Akira Kamatsuka, Toshiyasu Matsushima (Waseda Univ.) IBISML2019-6 |
The problem of estimating the number of the change points is an important problem in various real problems.There have be... [more] | IBISML2019-6 pp.35-41 |
| WIT, IPSJ-AAC | 2019-03-10 09:55 |
Ibaraki | Tsukuba University of Technology | A scanning input system for Japanese text requiring no row selection Hibiki Sakuraoka, Hiroki Mori (Utsunomiya Univ.) WIT2018-80 |
Fast scanning communication interface is beneficial for physically-challenged people. This study proposal a new matrix-... [more] |
WIT2018-80 pp.119-123 |
| EMCJ, IEE-EMC, IEE-MAG | 2018-11-22 16:20 |
Overseas | KAIST | [Invited Talk]
Statistical Eye-diagram Estimation Method Considering Power/Ground Noise Generated by Simultaneous Switching Output Buffers Youngwoo Kim, Junyong Park, Kyungjun Cho, Joungho Kim (KAIST) EMCJ2018-84 |
In the high-speed channel, non-linear power/ground noise generated by simultaneous switching buffer outputs (SSOs) noise... [more] | EMCJ2018-84 pp.79-80 |
| IBISML | 2018-11-05 15:10 |
Hokkaido | Hokkaido Citizens Activites Center (Kaderu 2.7) | [Poster Presentation]
A Note on the Estimation Method of Causality Effects based on Statistical Decision Theory Shunsuke Horii, Tota Suko (Waseda Univ.) IBISML2018-97 |
In this paper, we deal with the problem of estimating the intervention effect in statistical causal analysis using struc... [more] | IBISML2018-97 pp.397-402 |
| QIT (2nd) |
2018-06-05 11:20 |
Hiroshima | ICCH Ran | Characterization of classical statistical model for quantum parametric model Jun Suzuki (UEC) |
Several equivalent conditions characterizing classical models are obtained for a parametric family of quantum states. Th... [more] | |
| PRMU, MI, IE, SIP | 2018-05-17 17:00 |
Gifu | [Invited Talk]
Statistical Modeling of 3-D DFT Coefficients of Moving Images and Its Applications to Video Restoration Takahiro Saito, Takashi Komatsu (Kanagawa Univ.) SIP2018-6 IE2018-6 PRMU2018-6 MI2018-6 |
Recently we have presented moving-image denoising with 3-D Mean-Separation-type Short-Time DFT and demonstrated that it ... [more] | SIP2018-6 IE2018-6 PRMU2018-6 MI2018-6 pp.23-28 |
|
| HCGSYMPO (2nd) |
2017-12-13 - 2017-12-15 |
Ishikawa | THE KANAZAWA THEATRE | Preference estimation in interaction
-- The model generation from limited samples -- Kota Adachihara, Haruaki Fukuda, Kazuhiro Ueda (Tokyo Univ.) |
Accurate estimation for other’s preference is necessarily for social life. We estimate other’s whole preference from som... [more] | |
| EA, US (Joint) |
2017-01-25 13:00 |
Kyoto | Doshisha Univ. | [Poster Presentation]
Directive beamforming based on probability weighted least square Ryusuke Tanaka, Yoichi Haneda (UEC) EA2016-70 |
Directivity beamforming using a microphone array has been currently implemented for noise suppres- sion in video confer... [more] |
EA2016-70 pp.13-18 |
| SR | 2016-01-21 13:25 |
Nagasaki | Fukue-bunka-kaikan | A study on threshold setting for spectrum sensing based on spectrum utilization rate Kazuhiro Hayashi, Kenta Umebayashi (TUAT), Janne Lehtomaki (Univ. of Oulu), Yasuo Suzuki (TUAT) SR2015-73 |
In this paper, we investigate threshold setting for spectrum sensing based on statistics of spectrum usage for spectrum ... [more] | SR2015-73 pp.9-15 |
| MI | 2016-01-20 09:56 |
Okinawa | Bunka Tenbusu Kan | Automated liver segmentation from 3D MRI without parameter tuning for imaging condition Yuto Masaki, Shunta Hirayama, Futoshi Yokota, Yoshito Otake (NAIST), Masatoshi Hori (Osaka Univ.), Toshiyuki Okada (Tsukuba Univ.), Noriyuki Tomiyama (Osaka Univ.), Yoshinobu Sato (NAIST) MI2015-114 |
The automated segmentation of liver from MRI is useful for computer-aided diagnosis system to liver fibrosis. Several p... [more] |
MI2015-114 pp.199-204 |
| AP | 2016-01-14 14:45 |
Tokyo | Takushoku University, Hachiouji Campus | [Invited Lecture]
Statistical Model Utilizing Ray-Tracing for Indoor Radio Propagation Prediction Takahiro Hashimoto, Yasuhiro Nishioka, Yoshio Inasawa, Hiroaki Miyashita (Mitsubishi Electric Corp.) AP2015-174 |
In order to improve accuracy of the statistical models in indoor propagation characteristics, we propose an estimation m... [more] | AP2015-174 pp.37-42 |
| IN, IA (Joint) |
2015-12-18 11:35 |
Hiroshima | Hiroshima City University | An improved inference method for mean flow rate in OD traffic matrix Yuki Wakamatsu, Masato Tsuru (Kyutech) IN2015-87 |
In network management, a global perspective of volume statistics of macro-level flows of network traffic, e.g., traffic ... [more] | IN2015-87 pp.95-100 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2015-12-03 09:25 |
Aichi | Nagoya Inst of Tech. | Deep Auto-encoder based Low-dimensional Feature Extraction using FFT Spectral Envelopes in Statistical Parametric Speech Synthesis Shinji Takaki, Junichi Yamagishi (NII) SP2015-81 |
In the state-of-the-art statistical parametric speech synthesis system, a speech analysis module, e.g. STRAIGHT spectral... [more] | SP2015-81 pp.99-104 |
| EMT, MW, OPE, MWP, EST, IEE-EMT [detail] | 2015-07-16 16:50 |
Hokkaido | Kushiro City Lifelong Learning Center | Classification Rule of NLoS Region in Indoor Propagation Estimation Combining Ray-Tracing with Statistical Models Takahiro Hashimoto, Yasuhiro Nishioka, Yoshio Inasawa, Hiroaki Miyashita (Mitsubishi Electric Corp.) EMT2015-31 MW2015-69 OPE2015-43 EST2015-35 MWP2015-34 |
In order to improve estimation accuracy of statistical models, a method in which subdivide NLoS region using number of r... [more] | EMT2015-31 MW2015-69 OPE2015-43 EST2015-35 MWP2015-34 pp.131-136 |
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