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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EST, MW, EMT, OPE, MWPTHz, IEE-EMT [detail] | 2023-07-21 13:00 |
Hokkaido | Muroran Institute of Technology (Primary: On-site, Secondary: Online) |
A Study on Topology Optimization of Nonlinear Optical Waveguide Device Hayase Hirao, Akito Iguchi, Yasuhide Tsuji (Muroran IT)  EMT2023-55 MW2023-73 OPE2023-55 EST2023-55 MWPTHz2023-51 |
All optical logic gates, which are challenging to design with linear material, are now possible with optical devices tha... [more] | EMT2023-55 MW2023-73 OPE2023-55 EST2023-55 MWPTHz2023-51 pp.236-240 |
| EST | 2022-05-19 13:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Topology Optimal Design of Optical Device Using Covariance Matrix Adaptation Evolution Strategy and Function Expansion Method Hiroki Maruyama, Akito Iguchi, Yasuhide Tsuji (Muroran IT), Tatsuya Kashiwa (Kitami IT) EST2022-1 |
In order to develop high performance photonic devices, topology optimization method has been attracted a lot of attentio... [more] | EST2022-1 pp.1-5 |
| TL | 2022-03-13 11:50 |
Online | Online | Identification of Possible Cognitive and Behavioral Changes among Japanese University Students through Analysis of Reflections on Study Abroad Programs Miwa Morishita (Kobe Gakuin Univ.), Kazuo Sakai (Meiji Univ.), Eiji Tomida (Ehime Univ.), Yasunari Harada (Waseda Univ.) TL2021-37 |
We present summary results and discussions on three surveys of personality traits TIPI-J, interpersonal stressors, and p... [more] | TL2021-37 pp.31-36 |
| NC, MBE (Joint) |
2020-03-05 16:35 |
Tokyo | University of Electro Communications (Cancelled but technical report was issued) |
Sparse STC estimation of suppressive elements for neurons in primary visual cortex Reiji Tanaka (Osaka Univ.), Kota Sasaki (Osaka Univ./NICT), Hirotaka Sakamoto, Yoshihiro Nagano (Tokyo Univ.), Yonghao Yue (Aoyama Gakuin Univ.), Masato Okada (Tokyo Univ./RIKEN), Izumi Ohzawa (Osaka Univ./NICT) NC2019-102 |
To improve a functional model for visual neurons, we have been developing a novel technique (sparse STC) where a spike-t... [more] | NC2019-102 pp.155-159 |
| RCS, SR, SRW (Joint) |
2020-03-04 10:55 |
Tokyo | Tokyo Institute of Technology (Cancelled but technical report was issued) |
Transmission Efficiency of Uplink Grant-Free Non-Orthogonal Multiple Access Takanori Hara, Koji Ishibashi (The Univ. of Electro-Communications) RCS2019-325 |
To accommodate a large number of users efficiently, grant-free non-orthogonal multiple access (GF-NOMA) has gained much ... [more] | RCS2019-325 pp.31-36 |
| SP, EA, SIP | 2020-03-02 10:10 |
Okinawa | Okinawa Industry Support Center (Cancelled but technical report was issued) |
Multichannel NMF with Joint-Diagonalizable Constraint Based on Generalized Gaussian Distribution for Blind Source Separation Keigo Kamo, Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (NIT Kagawa), Hiroshi Saruwatari (UTokyo), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2019-103 SIP2019-105 SP2019-52 |
Multichannel nonnegative matrix factorization (MNMF) is a blind source separation technique, which employs the full-rank... [more] | EA2019-103 SIP2019-105 SP2019-52 pp.13-19 |
| EA | 2019-12-13 13:25 |
Fukuoka | Kyushu Inst. Tech. | Rank-constrained spatial covariance matrix estimation based on multivariate complex generalized Gaussian distribution and its acceleration for blind speech extraction Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (NIT, Kagawa), Hiroshi Saruwatari (UTokyo) EA2019-78 |
In this paper, we generalize a generative model in rank-constrained spatial covariance matrix estimation that separates ... [more] | EA2019-78 pp.85-92 |
| EA, ASJ-H | 2019-10-28 14:00 |
Tokyo | NHK Science&Technology Research Lab. | FastMNMF based on multivariant complex Student's t distribution for blind source separation Keigo Kamo, Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (Kagawa NCIT), Hiroshi Saruwatari (UTokyo), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2019-40 |
FastMNMF is a blind source separation technique, which is an accelerated algorithm of multichannel nonnegative matrix fa... [more] | EA2019-40 pp.23-29 |
| EA, SIP, SP | 2019-03-14 15:40 |
Nagasaki | i+Land nagasaki (Nagasaki-shi) | Estimation of rank-constrained spatial covariance model based on multivariate complex Student's t distribution for blind source separation Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (Kagawa NCIT), Hiroshi Saruwatari (UTokyo) EA2018-128 SIP2018-134 SP2018-90 |
In this paper, we generalize a generative model in estimation of rank-constrained spatial covariance model that separate... [more] | EA2018-128 SIP2018-134 SP2018-90 pp.173-178 |
| HIP | 2018-08-02 10:50 |
Tokyo | Tokyo Woman's Christian University | Psychological factors of choking under pressure among pianists
-- What triggers memory slip? -- Reiko Ishimaru (Kwansei Gakuin Univ.), Shinichi Furuya (Sony CSL), Noriko Nagata (Kwansei Gakuin Univ.) HIP2018-40 |
This study aimed at determining attributes of “choking under pressure” in musical performance among pianists. Using ques... [more] | HIP2018-40 pp.9-12 |
| AP, RCS (Joint) |
2017-11-08 10:50 |
Fukuoka | Fukuoka University | Effects of Channel Covariance Estimation Error on Joint Maximum A Posteriori Estimation of Channel and Interference Power for OFDM Transmission Masahiro Kudo, Tomoaki Ohtsuki (Keio Univ.) RCS2017-208 |
Superposed multicarrier transmission has been proposed as a technique to improve frequency utilization efficiency. In ... [more] |
RCS2017-208 pp.23-28 |
| VLD | 2017-03-02 16:15 |
Okinawa | Okinawa Seinen Kaikan | An algorithm to compute covariance for finding distribution of the maximum Daiki Azuma, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.), Takashi Kambe (Kinki Univ.) VLD2016-121 |
In statistical approaches such as statistical static timing analysis, the distribution of the maximum of plural distribu... [more] | VLD2016-121 pp.103-108 |
| US | 2016-10-07 14:55 |
Fukushima | College of Eng., Nihon Univ. | A Method for Combining Sub-Array Averaging with Sub-Aperture Beamforming in Adaptive Beamformer Hideyuki Hasegawa (Univ. Toyama) US2016-45 |
We have increased the temporal resolution of ultrasonic imaging to more than 1 kHz for accurate measurement of tissue dy... [more] | US2016-45 pp.7-10 |
| HCS | 2016-03-01 13:25 |
Ishikawa | Rurikoh (Yamashiro Onsen) | Inducing of Rambling Activities by Using Inverse Perspective Masakatsu Ohta (NTT), Toshihiko Okoshi, Yuta Watanabe, Toshiaki Miyazaki (Univ. of Aizu) HCS2015-82 |
A method for inducing rambling activities (unplanned stopping-by) of travellers and event participants is proposed. If p... [more] | HCS2015-82 pp.5-10 |
| VLD | 2016-03-02 13:25 |
Okinawa | Okinawa Seinen Kaikan | An Algorithm for Reducing Components of a Gaussian Mixture Model 2
-- A Method for Calculating Sensitivities -- Daiki Azuma, Shuji Tsukiyama (Chuo Univ.), Masahiro Fukui (Ritsumeikan Univ.), Takashi Kambe (Kinki Univ.) VLD2015-139 |
In statistical methods, such as statistical static timing analysis (S-STA), Gaussian mixture model (GMM) is a useful too... [more] | VLD2015-139 pp.161-166 |
| LOIS | 2015-03-05 10:00 |
Okinawa | A Behavior Model of mobile work with personal device
-- A preliminary study on Shadow IT as exceptional case of BYOD -- Takashi Hatashima, Yasuhisa Sakamoto (NTT) LOIS2014-64 |
We are studying on information security risk due to behaviors that parties takes into account the advantages and disadva... [more] | LOIS2014-64 pp.19-24 |
|
| PRMU, IPSJ-CVIM, MVE [detail] | 2015-01-22 15:50 |
Nara | Covariance matrix estimation for multivariate Gaussian process regression Yuki Matsumura, Toshikazu Wada (Wakayama Univ.) PRMU2014-98 MVE2014-60 |
Gaussian process regression is a nonlinear regression that estimates the expected value of the of the output and its var... [more] | PRMU2014-98 MVE2014-60 pp.117-122 |
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| IBISML | 2014-11-17 17:00 |
Aichi | Nagoya Univ. | [Poster Presentation]
Importance-Weighted Covariance Estimation for Robust Common Spatial Pattern Alessandro Balzi (PoliMi), Florian Yger, Masashi Sugiyama (Univ. of Tokyo) IBISML2014-40 |
Non-stationarity is an important issue for practical applications of machine learning methods. This issue particularly a... [more] | IBISML2014-40 pp.41-48 |
| AP, SANE (Joint) |
2014-08-29 14:05 |
Niigata | Niigata University Satellite campus | [Invited Lecture]
On the Covariance Matrix in Array Signal Processing Koichi Ichige, Yu Iwabuchi (Yokohama National Univ.) AP2014-87 SANE2014-60 |
This paper introduces the relation between the covariance matrix elements in array signal processing. Also we develop a ... [more] | AP2014-87 SANE2014-60 pp.85-90(AP), pp.71-76(SANE) |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-02 10:00 |
Tottori | A proposal of simple correcting scheme for sample Mahalanobis distances using Delta method Yasuyuki Kobayashi (Teikyo Univ.) PRMU2013-37 IBISML2013-17 |
In statistical machine learning technology, it is difficult to ignore errors between sample Mahalanobis distances estima... [more] | PRMU2013-37 IBISML2013-17 pp.25-30 |
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