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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| EA | 2022-05-13 16:50 |
Online | Online | Basic study for permutation solver based on deep neural networks Fumiya Hasuike, Rui Watanabe, Daichi Kitamura (NIT, Kagawa) EA2022-13 |
This paper focuses on a permutation problem associated with frequency-domain independent component analysis (FDICA) that... [more] | EA2022-13 pp.62-67 |
| EA, SIP, SP, IPSJ-SLP [detail] | 2022-03-01 09:20 |
Okinawa | (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Robust Hyperspectral Anomaly Detection via Component Decomposition Based on Convex Optimization Koyo Sato, Shunsuke Ono (Tokyo Tech) EA2021-71 SIP2021-98 SP2021-56 |
Anomaly detection in hyperspectral (HS) images is a technique to identify pixels whose spectral wavelengths differ from ... [more] | EA2021-71 SIP2021-98 SP2021-56 pp.44-49 |
| 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 |
| EST, MW, EMCJ, IEE-EMC [detail] | 2021-10-08 09:40 |
Online | Online | Study on extraction of multiple electromagnetic noise waveforms using independent component analysis Nao Takahashi, Shinobu Ishigami, Ken Kawamata (TGU) EMCJ2021-42 MW2021-54 EST2021-44 |
In device such as a drone that has a build-in 5G (5th generation mobile communications) mobile terminal for controlling ... [more] | EMCJ2021-42 MW2021-54 EST2021-44 pp.73-77 |
| SIP | 2021-08-24 10:00 |
Online | Online | [Invited Talk]
Audio source separation based on independent low-rank matrix analysis and its extensions Daichi Kitamura (NIT Kagawa) SIP2021-32 |
Audio source separation is a technique for separating individual audio sources from an observed mixture signal. In parti... [more] | SIP2021-32 pp.19-24 |
| 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] | |
| EST | 2021-05-20 15:45 |
Online | Online | Separation of signal and environmental magnetic noise using independent component analysis Kenji Yonegaki, Yanagida Tomonori, Ogata Yuji, Kakinuma Bun'ichi, Kimishima Masayuki (ATL) EST2021-7 |
In recent years, the demand for magnetic measurement has been increasing in a wide range of fields such as biomedicine, ... [more] | EST2021-7 pp.32-35 |
| NC, MBE (Joint) |
2021-03-04 09:00 |
Online | Online | Proposal of higher-order tensor independent component analysis for MIMO remote sensing systems Seishiro Goto, Ryo Natsuaki, Akira Hirose (The Univ. of Tokyo) NC2020-54 |
This paper proposes higher-order tensor independent component analysis (HOT-ICA). HOT-ICA is a tensor ICA that makes eff... [more] | NC2020-54 pp.65-70 |
| IBISML | 2021-03-04 14:40 |
Online | Online | IBISML2020-59 |
In the machine learning tasks where the training data is scarce, domain adaptation (DA) is a promising methodology that ... [more] | IBISML2020-59 p.78 |
| CPSY, RECONF, VLD, IPSJ-ARC, IPSJ-SLDM [detail] | 2021-01-25 16:45 |
Online | Online | Comparison of ICA Algorithms in the Compressed Sensing EEG Measurement Framework Using OD-ICA Wataru Okumura, Daisuke Kanemoto, Osamu Maida, Tetsuya Hirose (Osaka Univ) VLD2020-52 CPSY2020-35 RECONF2020-71 |
Compressed sensing gives reduction of power consumption for electroencephalogram (EEG) measurement system. However, ocul... [more] | VLD2020-52 CPSY2020-35 RECONF2020-71 pp.75-79 |
| CPSY, RECONF, VLD, IPSJ-ARC, IPSJ-SLDM [detail] | 2021-01-25 17:10 |
Online | Online | Low Power EEG Measurement Using Compressed Sensing Consideration of the Sampling Interval Yuki Okabe, Daisuke Kanemoto (Osaka Univ.), Tomoya Mochizuki (Yamanashi Univ.), Osamu Maida, Tetsuya Hirose (Osaka Univ.) VLD2020-53 CPSY2020-36 RECONF2020-72 |
In recent years, wireless EEG measurement devices that cause less discomfort to the subject have attracted much attentio... [more] | VLD2020-53 CPSY2020-36 RECONF2020-72 pp.80-84 |
| SeMI | 2021-01-21 14:10 |
Online | Online | [Poster Presentation]
Accurate Phase Measurement of Backscatter Signals Based on Principle Components Analysis
-- Simulation and Experimental Evaluation -- Tomoya Iwasaki, Jin Mitsugi (Keio Univ.) SeMI2020-56 |
Carrier phase angle estimation is essential in demodulation and localization of backscatter signals. In general, a linea... [more] | SeMI2020-56 pp.75-83 |
| 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 | 2020-12-14 09:40 |
Online | Online | Sound source separation method for use in live concerts Ryotaro Yamada, Kota Takahashi (UEC) EA2020-47 |
In live concerts, musical instrument sounds are mixed at vocal microphone, which makes it difficult to mix properly. To ... [more] | EA2020-47 pp.7-12 |
| MW, EST, EMCJ, PEM, IEE-EMC [detail] | 2020-10-22 11:00 |
Online | Online | Basic study of electromagnetic noise waveform extraction using independent component analysis Nao Takahashi, Shinobu Ishigami, Ken Kawamata (TGU) EMCJ2020-28 MW2020-42 EST2020-30 |
For the safe operation of next-generation autonomous mobiles such as drones, 5G (5th generation mobile phone) technology... [more] | EMCJ2020-28 MW2020-42 EST2020-30 pp.20-24 |
| 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 |
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