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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
| 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, 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 |
| 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 |
| 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 |
|
| PRMU, MVE, IPSJ-CVIM (Joint) [detail] |
2013-01-24 14:45 |
Kyoto | Vector output estimation by Gaussian Process Regression using dynamic Active Set Yuki Matsumura, Toshikazu Wada (Wakayama Univ.), Shunji Maeda, Hisae Shibuya (Hitachi) PRMU2012-120 MVE2012-85 |
This report presents a method to estimate vector outputs in the framework of Gaussian Process Regression (GPR) . GPR is ... [more] | PRMU2012-120 MVE2012-85 pp.317-322 |
|
| EA | 2012-06-08 14:05 |
Shizuoka | Yamaha Co. | Underdetermined DOA estimation by the non-linear MUSIC based on higher-order moment analysis Yuya Sugimoto, Shigeki Miyabe, Takeshi Yamada, Shoji Makino (Univ. Tsukuba) EA2012-41 |
This paper describes a new approach to extend MUltiple SIgnal Classification (MUSIC) to underdeter-mined direction-of-ar... [more] | EA2012-41 pp.49-54 |
| RCS, NS (Joint) |
2011-07-21 11:05 |
Hokkaido | Asahikawa Civic Culture Hall | Investigation of Interference Rejection Combining Receiver to Suppress Inter-cell Interference in LTE-Advanced Downlink Yusuke Ohwatari, Nobuhiko Miki, Takahiro Asai, Tetsushi Abe (NTT DOCOMO), Hidekazu Taoka (DOCOMO Euro Lab) RCS2011-80 |
The interference rejection combining (IRC) receiver is effective in improving the cell-edge user throughput because it s... [more] | RCS2011-80 pp.31-36 |
| EA | 2010-12-10 13:45 |
Ibaraki | Univ. of Tsukuba | Diffuse noise robust multiple source localization based on noise reduction in covariance matrix domain Nobutaka Ito (Univ. Tokyo), Emmanuel Vincent (INRIA Rennes), Nobutaka Ono (Univ. Tokyo), Remi Gribonval (INRIA Rennes), Shigeki Sagayama (Univ. Tokyo) EA2010-102 |
In this paper, we propose a method for estimating the azimuths of multiple sound sources accurately even in the presence... [more] | EA2010-102 pp.31-36 |
| KBSE, AI | 2008-01-21 15:20 |
Kanagawa | Keio Unv. Hiyoshi Campus | An Analysis of Human Factors to Affect Whether or Not Formation of Project Teams for Software Development Exercise Is Proper
-- An Analysis of the Human Factors through Covariance Structure Analysis -- Hitomi Saito, Kiyomi Shirakawa, Hiroaki Hashiura (SIT), Kotaro Yamashita (MKI), Seiichi Komiya (SIT) AI2007-35 KBSE2007-45 |
Third-year students at Department of Information Science and Engineering, Shibaura Institute of Technology in Japan acqu... [more] | AI2007-35 KBSE2007-45 pp.43-48 |
| NLP, CAS | 2006-10-04 15:55 |
Osaka | Design of Extended Recursive Wiener Fixed-Point Smoother and Filter in Continuous-Time Stochastic Systems Seiichi Nakamori (Kagoshima Univ.) |
This paper designs the extended recursive Wiener fixed-point smoother and filter in continuous-time wide-sense stationa... [more] |
CAS2006-29 NLP2006-52 pp.49-53 |
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| EA | 2006-08-09 11:30 |
Miyagi | Criterion obtained from wavefront by circular microphone array for estimating acoustic-sound-source location Ryuudou Nagase (CIT), Kunio Oishi (TUT), Hajime Kubota (CIT) |
This paper proposes a new circular microphone array model in which the distance between the array and sound source can b... [more] | EA2006-36 pp.11-16 |
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