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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SS | 2024-03-09 09:30 |
Okinawa | (Primary: On-site, Secondary: Online) |
Investigating indicators of distortion in CNN models using statistical metamorphic testing Tsuchiya Takumi, Okano Kozo, Ogata Shinpei (Shinshu Univ), Nakajima Shin (NII)  SS2023-77 |
In quality evalution of machine learning systems, it is important to determine whether the learning parameter (weight) v... [more] | SS2023-77 pp.168-173 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2023-06-29 15:10 |
Okinawa | OIST Conference Center (Primary: On-site, Secondary: Online) |
Selective Inference for DNN-driven Saliency Map Daiki Miwa (NITech), Vo Nguyen Le Duy (RIKEN), Tomohiro Shiraishi (Nagoya Univ.), Ichiro Takeuchi (Nagoya Univ./RIKEN) NC2023-5 IBISML2023-5 |
The usefulness of image classification using DNN models has been confirmed in various fields, but the prediction mechani... [more] | NC2023-5 IBISML2023-5 pp.30-34 |
| EST | 2023-01-26 15:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
Statistical Analysis of Multiconductor Non-Uniform Transmission Line with Variations in Line Height and Line gap using Polynomial Chaos Methods Yuto Hachiga, Yoshiki Kayano, Yoshio Kami, Fengchao Xiao (UEC) EST2022-85 |
Monte Carlo (MC) method, which is commonly used in a statistical analysis, can perform highly accurate calculations, but... [more] | EST2022-85 pp.58-63 |
| EA, US (Joint) |
2022-12-22 16:50 |
Hiroshima | Satellite Campus Hiroshima | [Poster Presentation]
Data augmentation method for machine learning on speech data Tsubasa Maruyama (Tokyo Tech), Tsutomu Ikegami (AIST), Toshio Endo (Tokyo Tech), Takahiro Hirofuchi (AIST) EA2022-68 |
In machine learning, data augmentation is a method to enhance the number and diversity of data by adding transformations... [more] | EA2022-68 pp.42-48 |
| 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 |
| IBISML | 2022-01-18 13:40 |
Online | Online | More Powerful Selective Inference for K-means clustering with Application to Single Cell Analysis Mizuki Sato, Yumehiro Omori, Yu Inatsu, Ichiro Takeuchi (NITech) IBISML2021-25 |
K-means clustering is the most famous clustering method because of its simplicity, and it has been applied to a wide ran... [more] | IBISML2021-25 pp.54-60 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2021-06-28 16:10 |
Online | Online | More Powerful and General Selective Inference for Stepwise Feature Selection using Homotopy Method Kazuya Sugiyama (Nitech), Vo Nguyen Le Duy, Ichiro Takeuchi (Nitech/RIKEN) NC2021-8 IBISML2021-8 |
Conditional selective inference (SI) has been actively studied as a new statistical inference framework for data-driven ... [more] | NC2021-8 IBISML2021-8 pp.55-61 |
| 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 |
| MI | 2021-03-16 14:00 |
Online | Online | Deformable mesh registration of partial lung shapes based on learning of pneumothorax deformation Hinako Maekawa, Megumi Nakao (Kyoto Univ.), Katsutaka Mineura (Kyoto Univ. Hospital), Toyofumi F. Chen-Yoshikawa (Nagoya Univ. Hospital), Tetsuya Matsuda (Kyoto Univ.) MI2020-74 |
Intraoperative pneumothorax is accompanied by large deformation including rotation. As intraoperative cone-beam CT (CBCT... [more] | MI2020-74 pp.112-117 |
| 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 |
| OCS, OFT, LSJ (Joint) [detail] |
2020-08-28 15:50 |
Online | Online | Study on Scientific Training Method Using Statistical Analysis and Motion Density Map of Highly Skill worker
-- Case of Optical Fiber Fusion Splicing -- Daisuke Sugita, Ryusei Yamashita (PTU), Takeshi Hadano (NESS), Takuo Kikuchi (PTU) OFT2020-6 |
In this study, we use the SCAT (Steps for Coding and Theorization) to describe the key points of the movements that inst... [more] | OFT2020-6 pp.19-24 |
| NC, MBE (Joint) |
2020-03-06 11:10 |
Tokyo | University of Electro Communications (Cancelled but technical report was issued) |
The Analysis of Associative Memory with Discrete Synapses Ryuta Sasaki, Toru Aonishi (Tokyo Tech) NC2019-108 |
Recently, as the increasing needs of the development of high-speed Ising computing specific hardware, it has been requir... [more] | NC2019-108 pp.187-192 |
| SP | 2019-01-27 10:40 |
Ishikawa | Kanazawa-Harmonie | Evaluation of end-to-end speech synthesis method using speaking styles Kiyoshi Kurihara, Nobumasa Seiyama, Tadashi Kumano, Atsushi Imai (NHK) SP2018-58 |
The purpose of this study was to conduct end-to-end text-to-speech synthesis in Japanese; we developed a system that use... [more] | SP2018-58 pp.29-34 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2018-12-10 16:30 |
Tokyo | Waseda Univ. Nishiwaseda Campus | Evaluation of Japanese end-to-end speech synthesis method inputting kana and prosodic symbols Kiyoshi Kurihara, Nobumasa Seiyama, Tadashi Kumano, Atsushi Imai (NHK) SP2018-49 |
The purpose of this study was to conduct end-to-end text-to-speech synthesis in Japanese; we developed a system that use... [more] | SP2018-49 pp.89-94 |
| 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 |
| 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 |
|
| PRMU, MI, IE, SIP | 2018-05-18 09:45 |
Gifu | Large Deformation Diffeomorphic Metric Mapping of 3D Organ Shape and the Statistical Shape Model on Non-Linear Manifold Takuya Hashiguti, Shuntaro Monobe, Hidekata Hontani, Tatsuya Yokota (NIT) SIP2018-7 IE2018-7 PRMU2018-7 MI2018-7 |
In this article，we report on a method that generates a set of corresponding points on the surfaces of target organs in g... [more] | SIP2018-7 IE2018-7 PRMU2018-7 MI2018-7 pp.29-34 |
|
| NS, IN (Joint) |
2018-03-02 15:20 |
Miyazaki | Phoenix Seagaia Resort | Method for Generating a Data Set to Detect Cyber Attacks for Autonomous and Distributed Internet Security Infrastructure Yusei Katsura, Hiroyuki Kimiyama (Tokyo Denki Univ.), Akihiro Nakao (Tokyo Univ.), Naoki Yonezaki, Tomoaki Tsutsumi, Kaoru Sano (Tokyo Denki Univ.), Takeshi Okamoto, Mitsuru Maruyama (Kanagawa Institutes of Technology), Hiroshi Kobayashi (Tokyo Denki Univ.) NS2017-238 |
We proposed "Autonomous and distributed Internet security (AIS) infrastructure" that enables to protect our resources on... [more] | NS2017-238 pp.397-401 |
| SP, ASJ-H | 2018-01-20 13:50 |
Tokyo | The University of Tokyo | DNN Based Voice Conversion Method Considering Outputs of Multiple Networks Takuya Fujioka, Sun Qinghua (Hitachi) SP2017-68 |
In many conventional statistical voice conversion methods, the relations of source and target speech on all frames are e... [more] | SP2017-68 pp.11-15 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2017-12-21 12:50 |
Tokyo | Waseda Univ. Green Computing Systems Research Organization | [Poster Presentation]
An Evaluation of Speech Waveform Modification Methods towards Improvement of Speech Intelligibility in Noisy Environment Tomohiro Takeyama, Kazuhiro Kobayashi, Tomoki Toda, Kazuya Takeda (Nagoya Univ.) SP2017-57 |
In this research, in order to improve speech intelligibility for a listener under the noisy environment, we propose a te... [more] | SP2017-57 pp.11-16 |
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