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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| PRMU | 2020-09-02 15:45 |
Online | Online | Collaborative learning for generative adversarial networks Takuya Tsukahara, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi (Chubu Univ.)  PRMU2020-14 |
Generative adversarial networks (GANs) adversarially trains generative and discriminative models. And this is how to gen... [more] | PRMU2020-14 pp.41-46 |
| 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 |
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| 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 |
| 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 |
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| IBISML, PRMU, IPSJ-CVIM [detail] | 2010-09-05 09:00 |
Fukuoka | Fukuoka Univ. | Behavior of kernel mutual subspace method with respect to parameters Seiji Hotta (TUAT), Tomokazu Kawahara, Osamu Yamaguchi (Toshiba Corp.), Hitoshi Sakano (NTT) PRMU2010-57 IBISML2010-29 |
Optimizing parameters of kernel methods is an unsolved problem. We report the experimental evaluation and the considerat... [more] | PRMU2010-57 IBISML2010-29 pp.1-6 |
| IBISML, PRMU, IPSJ-CVIM [detail] | 2010-09-06 14:50 |
Fukuoka | Fukuoka Univ. | [Fellow Memorial Lecture]
From the Subspace Method to the Mutual Subspace Method Ken-ichi Maeda (Toshiba Research/Toshiba) PRMU2010-85 IBISML2010-57 |
The \textit{Subspace Method}~\cite{watanabe2,oja} is a classic method of pattern recognition, and has been applied to ... [more] |
PRMU2010-85 IBISML2010-57 pp.215-220 |
| WIT | 2010-08-05 13:00 |
Tokyo | NHK Sci. Tech. Res. Labs. | Learning Using Synthetic Hand Images for Fingerspelling Recognition Kentaro Taji, Yasuhiro Ohkawa (Univ. of Tsukuba.), Nobuko Kato (Nat Univ Corp. Tsukuba Univ. of Tech.), Kazuhiro Fukui (Univ.Tsukuba) WIT2010-18 |
The communication with fingerspellings is an important mean for hearing impaired people. It consists of 46 kinds of hand... [more] | WIT2010-18 pp.1-6 |
| IBISML | 2010-06-14 09:35 |
Tokyo | Takeda Hall, Univ. Tokyo | [Invited Talk]
Advances in Statistical Machine Learning
-- An Approach based on Probability Density Ratios -- Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2010-1 |
Recently, we developed a new ML framework that allows us to systematically avoid density estimation. The key idea is t... [more] |
IBISML2010-1 p.1 |
| PRMU, HIP | 2010-03-15 17:55 |
Kagoshima | Kagoshima Univ. | A Study on Feature Selection of Whitened Mutual Subspace Method Osamu Yamaguchi, Tomokazu Kawahara (TOSHIBA Corp.) PRMU2009-269 HIP2009-154 |
We had proposed the whitened mutual subspace method which has linear feature extraction system in regard to the improve... [more] |
PRMU2009-269 HIP2009-154 pp.211-216 |
| PRMU, HIP | 2010-03-16 15:30 |
Kagoshima | Kagoshima Univ. | Compound Mutual Subspace Method and Its application to face recognition Naoki Akihiro, Kazuhiro Fukui (Univ. of Tsukuba.) PRMU2009-315 HIP2009-200 |
This paper proposes the Compound Mutual Subspace Method (CPMSM). The proposed method is considered as a generalization ... [more] |
PRMU2009-315 HIP2009-200 pp.483-488 |
| PRMU | 2009-08-31 10:30 |
Miyagi | Tohoku Univ. | Motion Recognition based on Mutual Subspace Method with Considering Vector Length Yoshiaki Kodama, Kazuhiro Fukui (Univ. of Tsukuba) PRMU2009-61 |
In this paper, we will propose a motion recognition method based on an extended Mutual Subspace Method (MSM) with consi... [more] |
PRMU2009-61 pp.7-12 |
| PRMU | 2008-12-18 15:20 |
Kumamoto | Kumamoto Univ. | Recognition of hand shape robust to changes of background using kernel constraint mutual subspace method Yasuhiro Ohkawa, Kazuhiro Fukui (Tsukuba Univ.) PRMU2008-164 |
This paper presents a recognition method of hand shape, which is robust to influence of the background. To realize this... [more] |
PRMU2008-164 pp.99-104 |
| PRMU, IE | 2008-03-10 13:40 |
Ishikawa | Recognition of 3D Objects with Similar Shapes Using Multi-View Images Hitoshi Niigaki, Kazuhiro Fukui (Tsukuba Univ) IE2007-285 PRMU2007-269 |
This paper describes an effective method for recognition of 3D objects with similar shapes using multiple features extr... [more] |
IE2007-285 PRMU2007-269 pp.151-156 |
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| PRMU | 2007-12-13 15:30 |
Hyogo | Kobe Univ. | Linear and Nonlinear Hybrid Kernel Mutual Subspace method for Object Recognition Hitoshi Sakano (NTT Data) PRMU2007-143 |
We propose new member of mutual subspace method (MSM) family named linear and nonlinear hybrid kernel mutual subspace ... [more] |
PRMU2007-143 pp.43-46 |
| AI | 2007-11-26 14:55 |
Tokyo | Kwansei Gakuin University, Tokyo Marunouchi Campus | A Consideration on Formalization of Symbiotic Computing Kenji Sugawara (Chiba Inst. of Tech.), Tetsuo Kinoshita, Norio Shiratori (Thoku Univ.) AI2007-19 |
In this paper, a concept of "symbiotic computing" is formalized to bridge an e-Gap between Real Space (RS) and Digital S... [more] | AI2007-19 pp.47-52 |
| PRMU | 2004-11-18 14:00 |
Fukui | Research of the had type communication by face image processing of a dialog
-- Improvement of the recognition algorithm by mutual subspace method -- Natsuko Nishi, Mutsumi Watanabe (Graduate school,Kagoshima Univ.) |
The authors are developing a vision-based intension transfer system by recognizing user’s face expressions and movements... [more] | PRMU2004-100 pp.43-48 |
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