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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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] | |
| 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 |
| 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 |
| MBE | 2019-01-31 11:15 |
Saga | Saga University | Development of Visual Evoked Potential Recording System Including Real-Time Evaluation Algorithm Shun Yamaguchi (Saga Univ.), Kazuhiko Goto (Hakata Medical College), Takenao Sugi, Yoshitaka Matsuda, Satoru Goto (Saga Univ.), Takuro Ikeda (IUHW), Takao Yamasaki, Shozo Tobimatsu (Kyushu univ.), Yoshinobu Goto (IUHW) MBE2018-60 |
The purpose of this study is to construct the real-time evaluation system for visual evoked potential (VEP) recording. G... [more] | MBE2018-60 pp.13-16 |
| IBISML | 2016-11-16 15:00 |
Kyoto | Kyoto Univ. | [Poster Presentation]
Principal Component Analysis based unsupervised Feature Extraction applied to Bioinformatics Y-h. Taguchi (Chuo Univ.) IBISML2016-47 |
Recently, numerous researches were performed for the machine/statisitical learning. Among those, deep learning is especi... [more] | IBISML2016-47 pp.17-24 |
| EA, ASJ-H, IPSJ-MUS [detail] | 2016-10-14 14:30 |
Ishikawa | Noto Omakidai (Nanao) | A compression method for multi-channel signal based on the principal component analysis Hironori Sato, Arif Herusetyo Wicaksono, Shuichi Sakamoto, Cesar Daniel Salvador, Jorge Trevino, Yoiti Suzuki (Tohoku University) EA2016-32 |
Network usage costs are a serious obstacle to the transmission of multi-channel microphone arrays recordings when commun... [more] | EA2016-32 pp.7-11 |
| RCS | 2016-06-23 09:50 |
Okinawa | Univ. of the Ryukyus | Channel Compression for Massive MIMO based on Principal Component Analysis with Channel Prediction and Differential Quantization Rei Nagashima, Tomoaki Ohtsuki (Keio Univ.), Wenjie Jiang, Yasushi Takatori, Tadao Nakagawa (NTT) RCS2016-59 |
Massive MIMO (multiple-input multiple-output) is one of the key technologies to realize 5G (5th Generation).However, the... [more] | RCS2016-59 pp.75-80 |
| SIS, IPSJ-AVM | 2015-09-04 10:50 |
Osaka | Kansai Univ. | A Proposal of Color Quantization Algorithm Based on Principal Component Analysis Yoshiaki Ueda (Yamaguchi Univ.), Takanori Koga (National Institute of Technology, Tokuyama College), Noriaki Suetake, Eiji Uchino (Yamaguchi Univ.) SIS2015-26 |
In this report, a new color quantization method, which is an improved median cut algorithm by considering the color dist... [more] | SIS2015-26 pp.69-74 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS (Joint) [detail] |
2015-06-23 09:30 |
Okinawa | Okinawa Institute of Science and Technology | Principal component analysis-based unsupervised feature extraction applied to in silico drug discovery for posttraumatic stress disorder-mediated heart disease Y-h. Taguchi, Mitsuo Iwadate, Hideaki Umeyama (Chuo Univ) IBISML2015-1 |
Background Feature extraction (FE) is difficult, particularly if there are more features than samples, as small sample ... [more] |
IBISML2015-1 pp.1-8 |
| IBISML | 2014-11-17 17:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Heuristic principal component analysis based unsupervised feature extraction and its application to bioinformatics Y-h. Taguchi (Chuo Univ) IBISML2014-46 |
: Feature extraction (FE) is a difficult task when the number of features is much larger than the number of samples, a... [more] |
IBISML2014-46 pp.87-94 |
| SANE | 2013-12-02 10:10 |
Overseas | VAST/VNSC(2nd Dec.) & Melia Hotel (3rd Dec), Hanoi, Vietnam | Target Detection Algorithm using Independent Component Analysis for Pulse Doppler Radar Shuri Kondo, Shouhei Kidera, Tetsuo Kirimoto (UEC) SANE2013-73 |
Microwave pulse Doppler radar systems are useful tools for airplane position and velocity estimation in all-weather situ... [more] | SANE2013-73 pp.13-17 |
| NS, CQ, ICM, NV (Joint) |
2013-11-15 13:30 |
Nagasaki | Goto Islands | A Robust Principal Component Analysis for Traffic Anomaly Detection Takahiro Matsuda, Tatsuya Morita, Takanori Kudo, Tetsuya Takine (Osaka Univ.) NS2013-128 |
In this article, we consider anomaly detection schemes for traffic traces measured in multiple links of a network. Princ... [more] | NS2013-128 pp.71-76 |
| MBE | 2013-10-10 13:50 |
Osaka | Osaka Electro-Communication University | The study on discrimination method of Visually Induced Motion Sickness with principal component analysis Daichi Nagai, Tohru Kiryu (Niigata Univ.) MBE2013-62 |
The people who viewed a first person point images and camera shake images feel stress and they cause nausea, giddiness, ... [more] | MBE2013-62 pp.13-18 |
| SIP, RCS | 2013-01-31 09:55 |
Hiroshima | Viewport-Kure-Hotel (Kure) | A Note on Rotation-Robust Normalization Method in 3-D Model Retrieval Kazuki Ohtsuka, Koichi Ichige (Yokohama Nat'l Univ.) SIP2012-81 RCS2012-238 |
This paper presents an efficient 3-D model matching method based on elevation descriptor with Principal Component Analys... [more] | SIP2012-81 RCS2012-238 pp.1-6 |
| ITE-ME, ITE-AIT, IE [detail] | 2012-11-15 15:20 |
Kagoshima | Kagoshima Univ. | Performance Improvement of Learning-based Super-resolution utilizing Total Variation Regularization Decomposition Yuta Kawamoto, Shunji Miura, Yasutaka Sakuta, Tomio Goto, Masaru Sakurai (Nagoya Inst. of Tech.) IE2012-84 |
In this paper, we propose a new learning-based super-resolution method, which utilizes the Principal Components Analysis... [more] | IE2012-84 pp.13-16 |
| IBISML | 2011-11-09 15:45 |
Nara | Nara Womens Univ. | An Extension of Probabilistic PCA for Correlated Samples Kohei Hayashi (NAIST), Masanori Kawakita (Kyushu Univ), Kazushi Ikeda (NAIST) IBISML2011-50 |
Principal component analysis (PCA) is one of dimensional reduction methods and has widely been used for feature extracti... [more] | IBISML2011-50 pp.57-60 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2011-09-06 15:20 |
Hokkaido | Visualization of the Phase Transition Phenomena on K-satisfiability Problem through Principal Component Analysis Yasuaki Akazawa (Waseda Univ.), Masato Okada (Univ. Tokyo), Masato Inoue (Waseda Univ.) PRMU2011-78 IBISML2011-37 |
In this manuscript, we study about the random K-satisfiability (K-SAT) problem through numerical simulation. K-SAT probl... [more] | PRMU2011-78 IBISML2011-37 pp.165-172 |
|
| HIP | 2011-07-23 10:30 |
Toyama | The Complicated Hand Shapes Recognition with EMG during Playing the Instruments Masafumi Mizuguchi, Hideaki Touyama (Toyama Prefectural Univ.) HIP2011-27 |
Recently, aiming the entertainment use, studies on ElectroMyoGram (EMG) have been more and more investigated. In this pa... [more] | HIP2011-27 pp.1-4 |
|
| ET | 2011-03-04 17:10 |
Tokushima | Extraction of Priority of Questionnaire by using Principal Component Analysis and Application to Improvement of Lecture Rumiko Azuma, Shinya Nozaki, Yoshinori Namihira (Univ. of the Ryukyus) ET2010-108 |
To utilize the questionnaire is one of the effective and simple educational improvement techniques. The questionnaire ha... [more] | ET2010-108 pp.95-98 |
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