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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NS, IN (Joint) |
2024-02-29 10:10 |
Okinawa | Okinawa Convention Center | A Study on Detection of Flaming in SNS Video using Sentiment Analysis and Principal Component Analysis Tomonori Taniguchi, Hiroyasu Obata, Chisa Takano (Hiroshima City Univ.)  IN2023-79 |
In resent years, with the spread of Social Networking Service (SNS), a phenomenon called flaming in which many slander c... [more] | IN2023-79 pp.83-88 |
| IMQ, IE, MVE, CQ (Joint) [detail] |
2023-03-17 10:20 |
Okinawa | Okinawaken Seinenkaikan (Naha-shi) (Primary: On-site, Secondary: Online) |
A Reaction Interval Estimation Method Based on Recursive Short-term Principal Components Analysis for Skeletal Information of Badminton Players Kana Sagawa, Hidehiko Shishido, Masashi Suita, Itaru Kitahara (Tsukuba Univ.) IMQ2022-66 IE2022-143 MVE2022-96 |
Data analysis is becoming increasingly important in the field of competitive sports and games. Our research aims to real... [more] | IMQ2022-66 IE2022-143 MVE2022-96 pp.229-234 |
| PRMU | 2022-12-16 16:15 |
Toyama | Toyama International Conference Center (Primary: On-site, Secondary: Online) |
On partitioning of the space of one-dimensional normal distributions based on e(m)-divergence Jun Fujiki (Fukuoka Univ.), Shotaro Akaho (AIST) PRMU2022-54 |
Partitioning of the space of one-dimensional normal distributions based on e(m)-divergence is useful when clustering and... [more] | PRMU2022-54 pp.116-121 |
| SRW, SeMI, CNR (Joint) |
2022-11-25 09:55 |
Tochigi | Epinard Nasu (Primary: On-site, Secondary: Online) |
A Study of A Reaction Time Estimation Method for Badminton Players Based on Extreme Value Search for Short-Time Principal Components of Skeletal Information Kana Sagawa, Hidehiko Shishido, Masashi Suita, Itaru Kitahara (Tsukuba Univ.) CNR2022-17 |
In competitive sports where strategy is important, effective play and tactics at the moment of change in degree of domin... [more] | CNR2022-17 pp.11-16 |
| EST | 2022-05-19 15:45 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
High-precision heart rate measurement for multiple people using array radar imaging and principal component analysis Itsuki Iwata, Takuya Sakamoto (Kyoto Univ.) EST2022-7 |
Millimeter-wave radar, which has a wide frequency bandwidth and a large number of array elements, has become increasingl... [more] | EST2022-7 pp.34-37 |
| EST | 2022-01-28 11:20 |
Online | Online | Non-contact Heart Rate Measurement Using Millimeter-wave Array Radar and Principal Component Analysis of Phase Sequence Itsuki Iwata, Takato Koda, Takuya Sakamoto (Kyoto Univ.) EST2021-84 |
In this study, we develop a novel method for the noncontact measurement of human heartbeat using ultra-wideband millimet... [more] | EST2021-84 pp.136-139 |
| NLP, MICT, MBE, NC (Joint) [detail] |
2022-01-23 11:20 |
Online | Online | Towards 2-class classification via e(m)-PCA Jun Fujiki (Fukuoka Univ.), Shotaro Akaho (AIST) NC2021-43 |
In many data analysis methods, observed data are treated as points in high-dimensional Euclidean space, called feature s... [more] | NC2021-43 pp.55-58 |
| MBE, NC (Joint) |
2021-10-29 11:40 |
Online | Online | A numerical study on the relationship between complexity and accuracy of neural networks based on ordinary differential equations Kaoru Esashika, Jun Ohkubo (Saitama Univ.) NC2021-26 |
In recent years, many reports have been published on deep neural networks. The residual networks have contributed to rem... [more] | NC2021-26 pp.46-50 |
| QIT (2nd) |
2021-05-25 14:00 |
Online | Online | Quantum-inspired principal component analysis for high-dimensional data Kei Majima (QST), Naoko Koide-Majima (NICT), Hiroyuki Takuwa, Makoto Higuchi, Tetsuya Suhara, Noriaki Yahata (QST) |
Principal component analysis (PCA) is a widely used statistical tool for extracting low-dimensional structures underlyin... [more] | |
| HCGSYMPO (2nd) |
2020-12-15 - 2020-12-17 |
Online | Online | Relationship between Personality and Utterance Responses of Older Women in Daily Conversation at First Meeting Naoto Takayanagi, Kazuhiko Yanai, Makiko Hiraishi (Kao Co.), Hiroko Tokunaga (TDU), Kiyoshi Kataoka (Kao Co.), Naoki Mukawa (TDU) |
Daily conversation plays an important role in the development and maintaining of interpersonal relationships. Increasing... [more] | |
| EA, ASJ-H | 2020-07-21 11:50 |
Online | Online | Evaluation of components for new auditory signal in automobile Yoshinori Kamizono, Takao Onoye, Wataru Kobayashi (Osaka Univ.), Daisuke Okamoto EA2020-13 |
The purpose of this study is to contribute to driving environment with safe and comfortable by next-generation auditory ... [more] | EA2020-13 pp.71-78 |
| NLP | 2020-05-15 13:25 |
Online | Online | Design of a Distributed Algorithm for Principal Component Analysis based on Power Method and Average Consensus Mutsuki Oura, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2020-4 |
Principal component analysis is one of the most important methods of multivariate analysis, and has been applied in a wi... [more] | NLP2020-4 pp.17-22 |
| IE, IMQ, MVE, CQ (Joint) [detail] |
2020-03-05 10:20 |
Fukuoka | Kyushu Institute of Technology (Cancelled but technical report was issued) |
Preference Analysis for Japanese Sake Evaluation Data Base on Different User Properties Yuki Hashimoto, Tatsuya Yamazaki (Niigata Univ.) CQ2019-138 |
Every year, a contest to evaluate the quality of Sake is held, which is called Zenkoku Shinshu Kanpyokai. Sake experts p... [more] | CQ2019-138 pp.21-24 |
| RCS, SR, SRW (Joint) |
2020-03-05 13:55 |
Tokyo | Tokyo Institute of Technology (Cancelled but technical report was issued) |
Performance of MIMO transmission using a spatial-temporal subspace-based compressive channel estimation technique Yasuhiro Takano (Kobe Univ.) RCS2019-367 |
Channel estimation accuracy in massive multiple-input multiple-output (MIMO) systems can suffer from deterioration since... [more] | RCS2019-367 pp.239-244 |
| IT, SIP, RCS | 2020-01-24 14:25 |
Hiroshima | Hiroshima City Youth Center | Research trends of compressive channel estimation techniques Yasuhiro Takano (Kobe Univ.) IT2019-80 SIP2019-93 RCS2019-310 |
Channel estimation accuracy in massive multiple-input multiple-output (MIMO) systems can suffer from deterioration since... [more] | IT2019-80 SIP2019-93 RCS2019-310 pp.261-265 |
| HCGSYMPO (2nd) |
2019-12-11 - 2019-12-13 |
Hiroshima | Hiroshima-ken Joho Plaza (Hiroshima) | Effect of Gender Difference on 3D Emotional Facial Expression Generation based on Principal Component Analysis Ayami Murata, Isseki Miwa, Shigeru Akamatsu (Hosei Univ.) |
In this study, we used 3D face data obtained using the RGB-Depth sensor KinectV2, and analyzed the geometric changes bet... [more] | |
| HCGSYMPO (2nd) |
2019-12-11 - 2019-12-13 |
Hiroshima | Hiroshima-ken Joho Plaza (Hiroshima) | Investigating transformation of 3D faces in terms of their masculinity/femininity impressions Yuki Ozawa, Nami Takeyama, Isseki Miwa, Shigeru Akamatsu (Hosei Univ.) |
We investigated the nature of impression manipulation of gender differences on 3D faces. First, we investigated the diff... [more] | |
| NC, MBE | 2019-12-06 13:25 |
Aichi | Toyohashi Tech | Proposal of Region Segmentation Algorithm for Facial Thermal Image Using Eigenfaces Yuki Hasumi, Kosuke Oiwa, Akio Nozawa (Aoyama Gakuin Univ.) MBE2019-62 NC2019-53 |
In late years, facial skin temperature acquired non-catalytically by using thermal cameras is suggested as one of the no... [more] | MBE2019-62 NC2019-53 pp.101-105 |
| AP, RCS (Joint) |
2019-11-22 09:50 |
Saga | Saga Univ. | Improving Time-domain Symbol Spread Blind Adaptive Array Interference Suppression by Principal Component Analysis Kazuki Maruta (Chiba Univ.), Kentaro Nishimori (Niigata Univ.), Chang-Jun Ahn (Chiba Univ.) RCS2019-226 |
We previously proposed a time-domain symbol spreading (TSS) which can expand the operational region of the blind adaptiv... [more] | RCS2019-226 pp.129-134 |
| ET | 2019-11-09 16:30 |
Hiroshima | Hiroshima City University | Classification of Students by Principal Components Analysis Yawen Li, Shinya Nogami (TUS) ET2019-57 |
In this paper, we use dummy data on the scores of first-year students in the Faculty of Business Administration to clari... [more] | ET2019-57 pp.55-58 |
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