| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| KBSE | 2024-01-24 09:10 |
Kagoshima | (Primary: On-site, Secondary: Online) |
Datetime Feature Recommendation System by Using Data Column Names Satoshi Masuda, Tomohiro Takeda (TCU)  KBSE2023-58 |
Analysis to gain new knowledge from huge amounts of data is called data science, and its widespread use is now socially ... [more] | KBSE2023-58 pp.43-48 |
| MI | 2022-09-15 11:25 |
Kanagawa | (Primary: On-site, Secondary: Online) |
Esophageal Tumor Segmentation in Endoscopic Images by Deep Learning Zehao Li, Ken'ichi Morooka (Okayama Univ.), Yuho Ebata (Kyushu Univ.), Hirofumi Hasuda (NHOKMC), Shoko Miyauchi, Ota Mitsuhiko (Kyushu Univ.) MI2022-54 |
Esophageal cancer is often asymptomatic at early stage.It progresses rapidly and can invade surrounding tissues.The esop... [more] | MI2022-54 pp.26-27 |
| SP, IPSJ-MUS, IPSJ-SLP [detail] | 2022-06-17 15:00 |
Online | Online | Representation and analytical normalization for vocal-tract-length transformation by group theory Atsushi Miyashita, Tomoki Toda (Nagoya Univ) SP2022-11 |
In automatic speech recognition, a recognition result should be invariant with respect to acoustic changes caused by dif... [more] | SP2022-11 pp.41-46 |
| MI | 2021-03-15 13:45 |
Online | Online | Surgical planning model generation by extracting important feature sets in mandibular reconstruction Kazuki Nagai, Megumi Nakao (Kyoto Univ.), Nobuhiro Ueda (Nara Medical Univ.), Yuichiro Imai (Rakuwakai Otowa Hospital), Toshihide Hatanaka, Tadaaki Kirita (Nara Medical Univ.), Tetsuya Matsuda (Kyoto Univ.) MI2020-54 |
Because implicit medical knowledge and experience are used to perform medical treatment, such decisions must be clarifie... [more] | MI2020-54 pp.29-34 |
| CW (2nd) |
2021-03-04 | Chiba | (Primary: On-site, Secondary: Online) |
Detecting Features for a Music Recognition System Yuya Tanaka, Shusuke Okamoto, Shinji Sakamoto (Seikei Univ.) |
The music recognition system is a system that inputs an audio file and outputs its metadata such as music title, and a s... [more] | |
| PRMU, IPSJ-CVIM | 2020-03-17 09:45 |
Kyoto | (Cancelled but technical report was issued) |
Rule Extraction from convolutional neural networks
-- Rule Extraction with A Pedagogical Method -- Yuya Sato (Tokyo Denki Univ), Hiroshi Tsukimoto (Tokyo Denki Univ.) PRMU2019-89 |
We presented a decompositional method of rule extraction from convolutional neural networks in the past. However, we fou... [more] | PRMU2019-89 pp.121-126 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-06 10:10 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
A Comparison Study of Neural Sign Language Translation Methods with Spatio-Temporal Features Kodai Watanabe, Wataru Kameyama (Waseda Univ.) IMQ2019-68 IE2019-150 MVE2019-89 |
In Neural Sign Language Translation, a model based on 2DCNN (2 Dimensional Convolutional Neural Network) called AlexNet ... [more] | IMQ2019-68 IE2019-150 MVE2019-89 pp.273-278 |
| RISING (2nd) |
2019-11-26 10:30 |
Tokyo | Fukutake Learning Theater, Hongo Campus, Univ. Tokyo | [Poster Presentation]
Prioritized Transmission of Mobile IoT Data Using Machine Learning Models Yuichi Inagaki, Ryoichi Shinkuma, Takehiro Sato, Oki Eiji (Kyoto Univ.) |
Predicting real-time spatial information from data collected by the mobile Internet of Things (IoT) devices is one solut... [more] | |
| RISING (2nd) |
2019-11-27 13:55 |
Tokyo | Fukutake Learning Theater, Hongo Campus, Univ. Tokyo | [Poster Presentation]
Modeling of Utility Function for Real-time Prediction of Spatial Information Using Machine Learning Keiichiro Sato, Ryoichi Shinkuma, Takehiro Sato, Eiji Oki (Kyoto Univ.), Takahiro Iwai, Takeo Onishi, Takahiro Nobukiyo, Dai Kanetomo, Kozo satoda (System platform Research Labs, NEC Corporation) |
Real-time prediction of spatial information has attracted a lot of attention. Machine learning enables us to provide rea... [more] | |
| EMM, IT | 2019-05-23 14:00 |
Hokkaido | Asahikawa International Conference Hall | Generation of privacy-preserving images holding positional information for HOG feature extraction Masaki Kitayama, Hitoshi Kiya (Tokyo Metro. Univ.) IT2019-1 EMM2019-1 |
In this paper, we propose a generation method of images which have no visual information but hold the gradient direction... [more] | IT2019-1 EMM2019-1 pp.1-6 |
| MBE | 2019-01-31 10:25 |
Saga | Saga University | Feature extraction of seizures in continuous video EEG Daiya Nakashima, Takenao Sugi, Yoshitaka Matsuda, Satoru Goto (Saga Univ), Haruhiko Nohira (Nihon Kohden), Yuichi Kubota (TMG Asaka Medical Center/Tokyo Women's Medical University) MBE2018-58 |
Electroencephalographic (EEG) record provides a significant information in clinical diagnosis of epileptic patients. Esp... [more] | MBE2018-58 pp.5-8 |
| PRMU | 2018-12-13 14:40 |
Miyagi | Extracting rules from convolutional neural networks Hiroshi Tsukimoto, Yuya Sato (Tokyo Denki Univ.) PRMU2018-79 |
To understand the inner structures of convolutional neural networks, several techniques of visualization have been devel... [more] | PRMU2018-79 pp.23-28 |
|
| PRMU, IBISML, IPSJ-CVIM [detail] | 2018-09-20 09:50 |
Fukuoka | A Study of Handwritten Chinese Character Recognition Method Based on Detection of The Curve Endpoints and Quadratic Curve Fitting Masato Suzuki, Daisuke Kitakoshi (Tokyo KOSEN) PRMU2018-44 IBISML2018-21 |
The local feature extraction used in general object recognition is one of the useful method to recognize the handwritte... [more] |
PRMU2018-44 IBISML2018-21 pp.55-60 |
|
| NLC, IPSJ-DC | 2018-09-06 17:20 |
Tokyo | Seikei University | Latent co-occurrence words graph extraction using sparse structure estimation
-- Comparison of word vectors between topic model and distributed representation -- Norimitsu Kubono, Nozomi Hiyoshi, Daiju Akashi (PERSOL CAREER) NLC2018-19 |
We are considering application of "structural topic model" in order to extract customer insight from member questionnai... [more] | NLC2018-19 pp.51-56 |
| PRMU, CNR | 2018-02-20 09:30 |
Wakayama | Detection of outdoor cables from point-cloud measured by MMS
-- Classification method of elongated object using histogram feature based on multiple geometric directions(MGPFH) -- Hitoshi Niigaki, Ken Tsutsuguchi, Tetsuya Kinebuchi (NTT) PRMU2017-159 CNR2017-37 |
Research results on detecting details of outdoor structures using point clouds measured by Mobile Map- ping Systems hav... [more] |
PRMU2017-159 CNR2017-37 pp.83-87 |
|
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2018-02-16 11:30 |
Hokkaido | Hokkaido Univ. | A Study of Handwritten Chinese Character Recognition Method Based on Feature Points Extraction Using Small Scale Space Masato Suzuki, Daisuke Kitakoshi (Tokyo Kosen) ITS2017-83 IE2017-115 |
Recognition method using local feature extraction is one of the famous strategies to general object recognition. By cons... [more] | ITS2017-83 IE2017-115 pp.257-260 |
| MBE, NC (Joint) |
2017-11-25 15:10 |
Miyagi | Tohoku University | Ensemble Learning with Feature Extraction for EEG Signal Discrimination using Source Separation Shuichi Nishino, Tomohiro Yoshikawa, Takeshi Furuhashi (Nagoya Univ.) NC2017-36 |
BCI allows a user to control external devices and to communicate with other people by measuring and discriminating EEG. ... [more] | NC2017-36 pp.49-52 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2017-09-16 09:45 |
Tokyo | Feature Extraction Using Denoising Autoencoders for Activity Recognition from Acceleration Data Toru Takeyama, Kiyoshi Kogure (KIT) PRMU2017-58 IBISML2017-30 |
We have experimentally evaluated how the performance of activity recognition from acceleration data depends on the way o... [more] | PRMU2017-58 IBISML2017-30 pp.161-166 |
|
| SITE, EMM, ISEC, ICSS, IPSJ-CSEC, IPSJ-SPT [detail] | 2017-07-15 13:50 |
Tokyo | Study of template matching application of steganography ANGO Hirokazu Ishizuka (Mitsubishi Electric), Isao Echizen (NII), Keiichi Iwamura (TUS), Koichi Sakurai (Kyushu Univ.) ISEC2017-33 SITE2017-25 ICSS2017-32 EMM2017-36 |
We propose a method ANGO(=Asymmetric Nondestractive steGanOgraphy) to extract different third information by two(o... [more] | ISEC2017-33 SITE2017-25 ICSS2017-32 EMM2017-36 pp.247-252 |
|
| NLC, TL | 2017-06-09 16:50 |
Tottori | Tottori University | [Invited Talk]
Affective Analysis of Tourist Spots from Blog Entries Masato Tokuhisa (Tottori Univ.) TL2017-8 NLC2017-8 |
This paper addresses extracting tourism information from blog entries. Blog entries contain franker and more extensive s... [more] | TL2017-8 NLC2017-8 pp.43-46 |
[Return to Top Page]