| IEICE Technical Committee Submission System Conference Schedule |
Online Proceedings [Sign in] Tech. Rep. Archives |
All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 |
|
| CQ | 2017-01-20 16:25 |
Osaka | Osaka University Nakanoshima Center | A Study on Spatio-Temporal Variability of Mobile Access Traffic and Subspace Tracking-Based Change-Point Detection Takahiro Matsuda, Senri Hirabaru (Osaka Univ.), Yuki Hirota (KDDI), Haruki Izumikawa, Hiroshi Hanano, Chihiro Ono (KDDI Research), Tetsuya Takine (Osaka Univ.) CQ2016-110 |
In mobile networks, network monitoring for access traffic is important for efficiently utilizing network resources. In t... [more] | CQ2016-110 pp.115-120 |
| 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 |
|
| RCS, IT, SIP | 2016-01-18 10:10 |
Osaka | Kwansei Gakuin Univ. Osaka Umeda Campus | A Note on Unequal Error Protection in Random Network Coding Tomohiko Saito (Tokyo City Univ.), Koki Kazama (Waseda Univ.), Toshihiro Niinomi (Tokyo City Univ.), Toshiyasu Matsushima (Waseda Univ.) IT2015-48 SIP2015-62 RCS2015-280 |
Unequal Error Protection (UEP) codes were proposed by Masnick et al. and organized by Dunning, Gils and so on. On the ot... [more] | IT2015-48 SIP2015-62 RCS2015-280 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 | 2015-02-19 14:40 |
Miyagi | * Masataka Konishi, Masakazu Iwamura, Koichi Kise (Osaka Pref. Univ.) PRMU2014-124 CNR2014-39 |
(To be available after the conference date) [more] | PRMU2014-124 CNR2014-39 pp.69-74 |
|
| PRMU | 2014-12-12 11:30 |
Fukuoka | Saliency for Object Identification Based on Color Attribute Yuko Ozasa, Naoko Enami, Yasuo Ariki (Kobe Univ.) PRMU2014-79 |
In an aging society, a service robot will come into our life. It is important for the robot to identify an object spec... [more] |
PRMU2014-79 pp.79-83 |
|
| 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 |
| IBISML | 2013-11-12 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
Global Solvers for Variational Bayesian Low-rank Subspace Clustering Shinichi Nakajima (Nikon), Akiko Takeda (Univ. of Tokyo), S. Derin Babacan (Google), Masashi Sugiyama (Tokyo Inst. of Tech.), Ichiro Takeuchi (Nagoya Inst. of Tech.) IBISML2013-37 |
Variational Bayesian (VB) learning, known to be a promising approximation method to Bayesian learning, is generally per... [more] |
IBISML2013-37 pp.7-14 |
| PRMU, IBISML, IPSJ-CVIM [detail] | 2013-09-03 10:30 |
Tottori | A specific object recognition method based on mixtures of probabilistic principal component analyzers Takashi Takahashi (Ryukoku Univ.), Takio Kurita (Hiroshima Univ.) PRMU2013-47 IBISML2013-27 |
We investigate a method of specific object recognition that utilizes image feature representation extracted from the dis... [more] | PRMU2013-47 IBISML2013-27 pp.161-166 |
|
| 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 |
|
| SIP, CAS, CS | 2013-03-14 11:10 |
Yamagata | Keio Univ. Tsuruoka Campus (Yamagata) | Direct Sum Decomposition of Krylov Subspace and Application to FIR/IIR Adaptive Filters Yoshihiro Kawata, Tetsuya Shimamura (Saitama Univ.) CAS2012-112 SIP2012-143 CS2012-118 |
Deriving a new iterative equation for orthonomal basis of Krylov subspace, we develop a fast recursive solution for the ... [more] | CAS2012-112 SIP2012-143 CS2012-118 pp.93-98 |
| SIP, CAS, CS | 2013-03-14 11:35 |
Yamagata | Keio Univ. Tsuruoka Campus (Yamagata) | LCMV Filter and MUSIC Algorithm by Direct Sum Decomposition of Krylov Subspace Yoshihiro Kawata, Tetsuya Shimamura (Saitama Univ.) CAS2012-113 SIP2012-144 CS2012-119 |
For the purpose of calculating the optimum coefficients of LCMV filter and the MUSIC spectrum, we develop a new iterativ... [more] | CAS2012-113 SIP2012-144 CS2012-119 pp.99-104 |
[Return to Top Page]