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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SS, MSS | 2022-01-11 16:40 |
Nagasaki | Nagasakiken-Kensetsu-Sogo-Kaikan Bldg. (Primary: On-site, Secondary: Online) |
Study on Stability of Distributed Scheduling Using Alternating Direction Method of Multipliers Naoki Niiya, Toshiyuki Miyamoto (Osaka Univ.), Daichi Inoue, Toyohiro Umeda (KOBELCO), Shigemasa Takai (Osaka Univ.)  MSS2021-42 SS2021-29 |
In recent years, the development of optimization methods in multi-agent systems has been remarkable. We have proposed a ... [more] | MSS2021-42 SS2021-29 pp.64-69 |
| EA, US, SP, SIP, IPSJ-SLP [detail] | 2021-03-03 10:50 |
Online | Online | Design of Graph Signal Sampling Matrices for Arbitrary Signal Subspaces Junya Hara, Koki Yamada (TUAT), Shunsuke Ono (TIT), Yuichi Tanaka (TUAT) EA2020-61 SIP2020-92 SP2020-26 |
We propose a design method of sampling matrices for graph signals that guarantees perfect recovery for arbitrary graph s... [more] | EA2020-61 SIP2020-92 SP2020-26 pp.9-14 |
| MSS, SS | 2021-01-26 14:00 |
Online | Online | [Invited Talk]
Blockchain-Based Distributed Optimization of Energy Management Systems
-- Integration with Demand Response -- Daiki Ogawa, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2020-31 SS2020-16 |
In this paper, a blockchain-based distributed optimization method for energy management systems (EMSs) is studied. Using... [more] | MSS2020-31 SS2020-16 pp.13-18 |
| RCS | 2020-04-23 - 2020-04-24 |
Online | Online | Optimal Transmission Strategy Realizing Minimum Age-of-Information of Energy Harvesting Users over Multiple-Access Channels Naoya Hirosawa (The Univ. Electro-Communications), Hiroki Iimori (JUB), Koji Ishibashi (The Univ. Electro-Communications), Giuseppe Abreu (JUB) RCS2020-8 |
In this paper, we study a sensor network composed of multiple energy harvesting nodes being capable of collecting energy... [more] | RCS2020-8 pp.43-48 |
| PRMU, IPSJ-CVIM | 2020-03-17 09:45 |
Kyoto | (Cancelled but technical report was issued) |
Deep neural network representation and learning of low-rank and sparse approximation
-- With application to celiac angiography under free breathing -- Ryohei Miyoshi, Tomoya Sakai (Nagasaki Univ.), Takashi Ohnishi, Hideaki Haneishi (Chiba Univ.) PRMU2019-91 |
Low-rank and sparse (L+S) approximation, a.k.a. stable and robust principal component analysis, is known to be suitable ... [more] | PRMU2019-91 pp.133-138 |
| MSS, CAS, SIP, VLD | 2019-07-30 13:50 |
Iwate | Iwate Univ. | Blockchain-Based Distributed Optimization for Energy Management Systems Daiki Ogawa, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2019-7 VLD2019-13 SIP2019-23 MSS2019-7 |
In this paper, a blockchain-based distributed optimization method for energy management systems (EMSs) is studied. ADMM ... [more] | CAS2019-7 VLD2019-13 SIP2019-23 MSS2019-7 pp.31-36 |
| NLP, MSS (Joint) |
2019-03-14 14:20 |
Fukui | Bunkyo Camp., Univ. of Fukui | An ADMM Approach to Distributed Optimization in Distribution System for Balancing Consumers Utilities Naoki Hidaka, Toshiyuki Miyamoto (Osaka Univ.) MSS2018-85 |
In recent years, the installation of distributed energy resources such as photovoltaic (PV) generations progresses. Howe... [more] | MSS2018-85 pp.23-27 |
| PRMU, CNR | 2019-03-01 13:45 |
Tokushima | Fast ADMM-L1 minimization method by using SMW formula Naoya Chiba (Tohoku Univ.), Akira Imakura (Tsukuba niv.), Koichi Hashimoto (Tohoku Univ.) PRMU2018-131 CNR2018-54 |
The light ray propagation of a projector-camera system is described by Light Transport Matrix (LTM), which is often used... [more] | PRMU2018-131 CNR2018-54 pp.95-98 |
|
| CAS, SIP, MSS, VLD | 2018-06-14 13:50 |
Hokkaido | Hokkaido Univ. (Frontier Research in Applied Sciences Build.) | Robust Image Smoothing Based on Gradient Range Constraints Yuji Akai, Toshihiro Shibata, Ryo Matsuoka (Kagawa Univ.), Masahiro Okuda (The Univ. of Kitakyushu) CAS2018-7 VLD2018-10 SIP2018-27 MSS2018-7 |
Image smoothing methods based on optimization, are widely useful for some important applications, e.g., contrast enhance... [more] | CAS2018-7 VLD2018-10 SIP2018-27 MSS2018-7 pp.33-37 |
| PRMU, IE, MI, SIP | 2017-05-25 15:10 |
Aichi | Graph Learning for Spectral Clustering using Low-rank and Sparse Decomposition Taiju Kanada, Masaki Onuki, Yuichi Tanaka (TUAT) SIP2017-10 IE2017-10 PRMU2017-10 MI2017-10 |
Spectral clustering is a method of clustering using eigenvectors of graph Laplacian. By using appropriate graphs, it is ... [more] | SIP2017-10 IE2017-10 PRMU2017-10 MI2017-10 pp.55-60 |
|
| IE, ITS, ITE-AIT, ITE-HI, ITE-ME, ITE-MMS, ITE-CE [detail] | 2017-02-21 14:45 |
Hokkaido | Hokkaido Univ. | Mixed noise removal of hyperspectral images by hybrid spatio-spectral total variation reguralization Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa (Tokyo Tech.) ITS2016-58 IE2016-116 |
Since hyperspectral image (HSI) contains rich spectral information, it has been recognized as a key technology in many f... [more] | ITS2016-58 IE2016-116 pp.281-285 |
| PRMU, CNR | 2017-02-19 11:20 |
Hokkaido | [Poster Presentation]
Online Algorithm for Separating a Sequence of Optical Flow Fields with Low-rank and TV Regularization Shun Ogawa, Tomoya Sakai (Nagasaki Univ.) PRMU2016-179 CNR2016-46 |
Estimation of camera egomotion and detection of moving object both require separation of the apparent motions, a.k.a. t... [more] |
PRMU2016-179 CNR2016-46 pp.155-156 |
|
| PRMU, CNR | 2017-02-19 11:20 |
Hokkaido | [Poster Presentation]
Compressed Sensing for 4D-MRI
-- Fast Algorithm of Image Reconstruction -- Kohei Mochizuki, Tomoya Sakai (Nagasaki Univ.), Yukinojo Kitakami, Hideaki Haneishi (Chiba Univ.) PRMU2016-181 CNR2016-48 |
This work aims to reduce measurement time and improve the computational efficiency of four-dimensional magnetic resonanc... [more] | PRMU2016-181 CNR2016-48 pp.159-160 |
|
| MI | 2017-01-18 10:41 |
Okinawa | Tenbusu Naha | [Short Paper]
Super Resolution of MR images via Optimization in Fourier Domain with Low Rank and Smoothness of Image Space Naoki Kawamura, Tatsuya Yokota, Hidekata Hontani (NITech) MI2016-74 |
We use MR images of the same object measured with different magnetic gradient directions in order to construct a MR imag... [more] | MI2016-74 pp.19-20 |
| MI | 2016-07-26 15:25 |
Hokkaido | Tomakomai Civic Hall | Super Resolution of MR images via TV-minimization in Signal Space and Spectrum Fitting in Fourier Space Naoki Kawamura, Tatsuya Yokota, Hidekata Hontani (NIT), Chika Iwamoto, Kenoki Ohuchida, Makoto Hashizume (Kyushu Univ) MI2016-46 |
In usual MRI, one of three directions of spacial resolution is lower than other directions, with their slices shifted. V... [more] | MI2016-46 pp.55-60 |
| IE | 2016-07-01 13:10 |
Okinawa | A constrained optimization approach to image restoration using blurred/noisy image pair Saori Takeyama, Shunsuke Ono, Itsuo Kumazawa (Tokyo Tech.) IE2016-40 |
Existing image restoration methods with a blurred/noisy image pair do not fully exploit the information on both images i... [more] | IE2016-40 pp.25-29 |
|
| PRMU, IE, MI, SIP | 2016-05-19 15:10 |
Aichi | High accuracy reconstruction algorithm for CS-MRI using SDMM Motoi Shibata, Norihito Inamuro, Takashi Ijiri, Akira Hirabayashi (Ritsumeikan Univ.) SIP2016-12 IE2016-12 PRMU2016-12 MI2016-12 |
We propose a high accuracy magnetic resonance imaging (MRI) reconstruction algorithm from compressively sampled measurem... [more] | SIP2016-12 IE2016-12 PRMU2016-12 MI2016-12 pp.59-64 |
|
| PRMU, IPSJ-CVIM, MVE [detail] | 2016-01-22 16:05 |
Osaka | a Note on a Privacy-Preserving Method for Distributed Regularized Logistic Regression Hideyuki Masui, Nozomi Miya, Toshiyasu Matsushima (Waseda Univ.) PRMU2015-131 MVE2015-53 |
In this paper, we study a privacy-preserving logistic regression. We consider the situation that two users have differen... [more] | PRMU2015-131 MVE2015-53 pp.281-286 |
|
| IT | 2013-09-27 10:15 |
Okinawa | Culture Resort Festone (Okinawa) | Iterative Multiuser Joint Decoding based on Augmented Lagrangian Method Shunsuke Horii, Tota Suko, Toshiyasu Matsushima, Shigeichi Hirasawa (Waseda Univ.) IT2013-34 |
In this paper, we develop an iterative multiuser joint decoding of code-division multiple-access (CDMA) signals based ... [more] |
IT2013-34 pp.13-17 |
| IBISML | 2013-03-05 09:55 |
Aichi | Nagoya Institute of Technology | A Privacy Preserving Distributed Calculation Method of Maximum A Posteriori Estimator for Linear Regression Models Akito Nakai, Tota Suko, Toshiyasu Matsushima (Waseda Univ.) IBISML2012-99 |
In this paper, we study a privacy preserving linear regression analysis. In the past, some protocols of distributed calc... [more] | IBISML2012-99 pp.47-54 |
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