Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CS |
2020-11-05 15:10 |
Online |
Online + Central Community Center, Nonoichi Community Center (Primary: Online, Secondary: On-site) |
[Invited Talk]
Semi-Blind Channel Estimation using Pilot Subcarriers and Subspace Approach in Orthogonal Precoded OFDM Hikaru Kawasaki, Takeshi Matsumura, Fumihide Kojima (NICT) CS2020-50 |
Orthogonal precoded (OP)-orthogonal frequency-division multiplexing (OFDM) is an OFDM scheme with an invertible precodin... [more] |
CS2020-50 pp.18-23 |
CS, CAS |
2020-02-28 09:00 |
Kumamoto |
|
Semi-Blind Channel Estimation in Orthogonal Precoded OFDM Hikaru Kawasaki, Takeshi Matsumura, Fumihide Kojima (NICT) CAS2019-113 CS2019-113 |
Orthogonal precoded orthogonal frequency-division multiplexing (OFDM) is an OFDM scheme with an invertible precoding. As... [more] |
CAS2019-113 CS2019-113 pp.87-93 |
IBISML |
2020-01-10 13:15 |
Tokyo |
ISM |
A Change Detection Method based on Temporal Variation of Subspace Geometry Honami Kanamori, Naoya Sogi, Kazuhiro Fukui (Univ. Tsukuba) IBISML2019-30 |
In this paper, we propose a change detection method on temporal variation of subspace geometry. In the proposed method, ... [more] |
IBISML2019-30 pp.83-89 |
SANE |
2019-04-16 11:55 |
Kanagawa |
Defense Academy; Defense Training Institute |
Range Resolution Characteristics of Synthetic Bandwidth Radar Using Signal Subspace Estimation Takafumi Nagano (Mitsubishi Electric Corp.) SANE2019-7 |
This paper discusses range resolution characteristics of a synthetic bandwidth method for high range resolution radars w... [more] |
SANE2019-7 pp.33-36 |
PRMU, BioX |
2019-03-18 10:30 |
Tokyo |
|
Gait Recognition Based on Constraint Mutual Subspace Method with CNN Features Akinari Sakai, Naoya Sogi, Kazuhiro Fukui (University of Tsukuba) BioX2018-50 PRMU2018-154 |
In this paper, we propose a high performance gait recognition framework. In recent years, the gait recognition has attra... [more] |
BioX2018-50 PRMU2018-154 pp.125-130 |
PRMU, IBISML, IPSJ-CVIM [detail] |
2018-09-21 09:40 |
Fukuoka |
|
Deep Learning and Related Technology
-- Subspace Method and Hebbian Learning Revisited -- Ken-ichi Maeda PRMU2018-49 IBISML2018-26 |
Deep Learning is recognised as the state-of-the-art AI technology, but it has several known problems. We discuss severa... [more] |
PRMU2018-49 IBISML2018-26 pp.89-96 |
SANE |
2018-05-14 11:25 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Synthetic Bandwidth Method for High Range Resolution Radars Based on Signal Subspace Estimation Takafumi Nagano, Yoshitsugu Sawa (Mitsubishi Electric Corp.) SANE2018-4 |
This paper proposes a synthetic bandwidth method for high range resolution radars which employ linear frequency modulati... [more] |
SANE2018-4 pp.19-22 |
PRMU, BioX |
2017-03-20 10:00 |
Aichi |
|
Selection of Near-Boundary Data for Semi-Supervised Learning Ryohei Tanaka, Xiao Ding, Soichiro Ono, Akio Furuhata (Toshiba) BioX2016-33 PRMU2016-196 |
Semi-supervised learning (SSL) is a technique which makes use of unlabeled data in addition to labeled data to obtain be... [more] |
BioX2016-33 PRMU2016-196 pp.1-6 |
PRMU, BioX |
2017-03-21 13:00 |
Aichi |
|
[Fellow Memorial Lecture]
Fascinated with the fun of the subspace method Kazuhiro Fukui (University of Tsukuba) BioX2016-63 PRMU2016-226 |
In this report, I mention the fateful encounter with the subspace method, its fun and practicality, through looking bac... [more] |
BioX2016-63 PRMU2016-226 pp.179-184 |
EST |
2016-09-09 13:30 |
Okinawa |
Ishigakishi-Shoko-Kaikan |
Performance of Preconditioned Linear Solver for Electromagnetic Field Analysis of Resonator Using Frequency-domain Finite Element Method
-- Characteristic of Some Preconditioners and Parallelization Technique -- Tomonori Tsuburaya (Fukuoka Univ.), Yoshifumi Okamoto (Hosei Univ.) EST2016-52 |
When the dielectric heating analysis based on frequency-domain finite element method (FEM) is performed, a linear solver... [more] |
EST2016-52 pp.265-270 |
PRMU, SP, WIT, ASJ-H |
2016-06-13 09:00 |
Tokyo |
|
A study on performance improvement of multi-class image classification using modified CS-LBP features Toshiaki Inoue (Pioneer) PRMU2016-35 SP2016-1 WIT2016-1 |
LBP feature, suitable for robust and low-cost texture classification, is expected to be available for high-performance i... [more] |
PRMU2016-35 SP2016-1 WIT2016-1 pp.1-6 |
BioX |
2015-08-24 15:10 |
Hokkaido |
Otaru Port Marina |
A Study on Mutual Subspace Method Applied in Gait Recognition Yumi Iwashita (Kyushu Univ.), Hitoshi Sakano (NTT Data Corp.), Ryo Kurazume (Kyushu Univ.) BioX2015-15 |
We previously proposed a gait-based person recognition method using a mutual subspace method (MSM), with an assumption t... [more] |
BioX2015-15 pp.11-14 |
SIS |
2015-06-08 15:15 |
Nagasaki |
Arkas SASEBO |
Generation of Learning Images Using the Bi-dimensional Empirical Mode Decomposition in Facial recognition Teruaki Fujiyoshi (NIT, Kurume College), Kuntpong Woraratpanya (KMITL), Yoshimitsu Kuroki (NIT, Kurume College) SIS2015-5 |
The Empirical Mode Decomposition (EMD) divides a signal into narrowband signals called Intrinsic Mode Function (IMF), an... [more] |
SIS2015-5 pp.25-28 |
PRMU, CNR |
2014-02-13 11:00 |
Fukuoka |
|
Face recognition using Support vector machine Shintaro Obayashi, Shota Funaki, Yuki Tsukagoshi, Takuya Kitamura (TNCT) PRMU2013-126 CNR2013-34 |
In this paper, we demonstrate the effectiveness of support vector machines (SVMs) for the facial recognition system.we u... [more] |
PRMU2013-126 CNR2013-34 pp.31-34 |
PRMU, CNR |
2014-02-13 15:00 |
Fukuoka |
|
Improved Subspace-based Support Vector Machines by linear combination of the separating hyper-planes Shota Funaki, Takuya Kitamura (TNCT) PRMU2013-135 CNR2013-43 |
In this paper, we propose the improved subspace-based SVMs (SS-SVMs) by linearly-combining the separating hyper-planes (... [more] |
PRMU2013-135 CNR2013-43 pp.77-82 |
PRMU, IPSJ-CVIM, MVE [detail] |
2014-01-23 17:00 |
Osaka |
|
3D Global Image Registration Using Local Linear Property in Sparse Dictionary Hayato Itoh, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) PRMU2013-102 MVE2013-43 |
In this paper, we propose a 3D global image registration of using a sparse dictionary. For global image
registration, t... [more] |
PRMU2013-102 MVE2013-43 pp.125-130 |
PRMU |
2013-12-12 10:40 |
Mie |
|
Selecting Conspicuous and Legible Fonts Sota Koizumi, Yaokai Feng, Seiichi Uchida (Kyushu Univ.) PRMU2013-71 |
(To be available after the conference date) [more] |
PRMU2013-71 pp.17-22 |
PRMU |
2013-12-13 09:30 |
Mie |
|
Explicit Local Linear Method for 2D Affine Image Registration Hayato Itoh, Atsushi Imiya (Chiba Univ.), Tomoya Sakai (Nagasaki Univ.) PRMU2013-82 |
We introduce a local linear method using local linear property of affine transformed images for global
image registrati... [more] |
PRMU2013-82 pp.85-90 |
ITS, WBS (Joint) |
2013-12-03 13:00 |
Tokyo |
Tokyo University of Science |
[Poster Presentation]
Improving Detection Accuracy using Subspace Method in LCX-Based Positioning System of Radio Terminals Shuhei Oki, Takeshi Higashino, Minoru Okada (NAIST) WBS2013-38 |
This article proposes an accuracy improving method in LCX positioning system for radio terminals.
The subspace method ... [more] |
WBS2013-38 pp.25-29 |
PRMU, MI, IE |
2013-05-24 10:00 |
Aichi |
|
Gaze Detection Towards a Vision Switch Yasuyuki Yamazaki (Univ. of Tsukuba), Hiroshi Mizoguchi (Tokyo Univ. of Science), Kazuhiro Fukui (Univ. of Tsukuba) IE2013-8 PRMU2013-1 MI2013-1 |
In this paper, we propose a method for detecting visual attention towards a "Vision Switch", which is a new concept of i... [more] |
IE2013-8 PRMU2013-1 MI2013-1 pp.1-6 |