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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| R | 2024-05-18 15:00 |
Aichi | Nagoya Champus, Aichi University (Primary: On-site, Secondary: Online) |
Reliability Prediction in Software Unit Test Keisuke Fukuda, Tadashi Dohi, Hiroyuki Okamura (Hiroshima Univ.) |
(To be available after the conference date) [more] | |
| 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 |
| MI | 2024-03-04 12:40 |
Okinawa | OKINAWAKEN SEINENKAIKAN (Primary: On-site, Secondary: Online) |
Teeth Segmentation from 3D Dental Model using Deep Learning and Statistical Shape Models Hazuki Yamada, Kana Kono (Okayama Univ.), Shoko Miyauchi (Kyushu Univ.), Hiroshi Kamioka (Okayama Univ.), Ken'ichi Morooka (Kumamoto Univ.) MI2023-73 |
3D dental model generated by using an intraoral scanner is a useful tool for knowing the shape of teeth. The application... [more] | MI2023-73 pp.133-136 |
| EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] | 2023-07-24 17:40 |
Hokkaido | Hokkaido Jichiro Kaikan | Statistical Key Recovery Attack Against the Peregrine Lattice-Based Signature Scheme Moeto Suzuki (Kyoto Univ.), Xiuhan Lin (Shandong Univ.), Shiduo Zhang (Tsinghua Univ.), Thomas Espitau (PQShield), Yang Yu (Tsinghua Univ.), Mehdi Tibouchi, Masayuki Abe (NTT) ISEC2023-30 SITE2023-24 BioX2023-33 HWS2023-30 ICSS2023-27 EMM2023-30 |
The Peregrine signature scheme, which is a high-speed variant of Falcon, is one of the candidates in the ongoing Korean ... [more] | ISEC2023-30 SITE2023-24 BioX2023-33 HWS2023-30 ICSS2023-27 EMM2023-30 pp.105-112 |
| 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 |
| 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 |
| EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] | 2022-07-20 10:15 |
Online | Online | Person Verification Using Evoked EEG by Ultrasound
-- Examination of Correlation in Fusing Features -- Yuta Ishikawa, Kotaro Mukai, Isao Nakanishi (Tottori Univ.) ISEC2022-18 SITE2022-22 BioX2022-43 HWS2022-18 ICSS2022-26 EMM2022-26 |
Person verification using evoked EEG by ultrasound has been studied. From brain waves simultaneously measured at many e... [more] |
ISEC2022-18 SITE2022-22 BioX2022-43 HWS2022-18 ICSS2022-26 EMM2022-26 pp.59-63 |
| 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 |
| KBSE | 2021-03-06 14:25 |
Online | Online | KBSE2020-46 |
In recent years, the use of open source software (OSS) in product software has been increasing in the industrial world, ... [more] | KBSE2020-46 pp.71-76 |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-30 10:50 |
Online | Online | statistical mechanical analysis of catastrophic forgetting in continual learning with teacher and student networks Haruka Asanuma, Shiro Takagi, Yoshihiro Nagano, Yuki Yoshida (Tokyo Univ.), Yasuhiko Igarashi (Tsukuba Univ.), Masato Okada (Tokyo Univ.) NC2020-18 |
When single neural networks sequentially learns more than one task, catastrophic forgetting occurs except for the last t... [more] | NC2020-18 pp.50-55 |
| 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 |
| IBISML | 2020-01-09 14:15 |
Tokyo | ISM | Statistical Learning Theory of Data changed in Value Satoshi Kataoka (Titech) IBISML2019-21 |
In Statistical Learning Theory, the accuracy of inference is evaluated by generalization loss or free energy of true d... [more] |
IBISML2019-21 pp.25-30 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 10:35 |
Tokyo | NHK Science & Technology Research Labs. | [Invited Talk]
Progress and prospects of statistical speech synthesis Keiichi Tokuda (Nagoya Inst. of Tech.) SP2019-35 |
The basic problem of statistical speech synthesis is quite simple: we have a speech database for training, i.e., a set o... [more] | SP2019-35 pp.11-12 |
| NLC, IPSJ-NL, SP, IPSJ-SLP (Joint) [detail] |
2019-12-06 13:55 |
Tokyo | NHK Science & Technology Research Labs. | [Poster Presentation]
Effectiveness of sequence-to-sequence acoustic modeling by using automatic generated labels Kiyoshi Kurihara, Nobumasa Seiyama, Tadashi Kumano (NHK) SP2019-37 |
We have proposed a method that uses yomigana (Japanese character readings) and prosodic symbols as input for sequence-to... [more] | SP2019-37 pp.49-54 |
| 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 |
| SIP, EA, SP, MI (Joint) [detail] |
2018-03-19 10:50 |
Okinawa | On the Use of Deep Gaussian Processes for GPR-based Speech Synthesis Tomoki Koriyama, Takao Kobayashi (Tokyo Inst. of Tech.) EA2017-106 SIP2017-115 SP2017-89 |
This paper proposes a speech synthesis framework based on deep Gaussian processes (DGPs). DGP is a Bayesian deep learn... [more] |
EA2017-106 SIP2017-115 SP2017-89 pp.27-32 |
|
| IBISML | 2018-03-06 13:35 |
Fukuoka | Nishijin Plaza, Kyushu University | Applicability of Fast Decimation Algorithm
-- Sparse two-parameter Boltzmann machine as a benchmark function -- Daisuke Motoki, Shohei Watabe, Tetsuro Nikuni (Tokyo Univ. of Science) IBISML2017-103 |
A decimation algorithm was developed by Decelle et al. for an inverse problem optimization method, which sequentially re... [more] | IBISML2017-103 pp.91-95 |
| 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 |
| PRMU | 2017-12-17 09:30 |
Kanagawa | Action Sequence Recognition in Videos by Combining a CTC Network with a Statistical Language Model Mengxi Lin, Nakamasa Inoue, Koichi Shinoda (Tokyo Tech) PRMU2017-101 |
Action sequence recognition aims to recognize what actions occur in a video and their temporal order. In this paper, we ... [more] | PRMU2017-101 pp.1-6 |
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