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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| IMQ | 2017-10-06 16:15 |
Hyogo | Kobe Univesity | A study of estimation by sparse coding of dislocation regions in photoluminescence image of multicrystalline silicon Hiroaki Kudo, Yusuke Hayama, Tetsuya Matsumoto (Nagoya Univ.), Kentaro Kutsukake (Tohoku Univ.), Noritaka Usami (Nagoya Univ.)  IMQ2017-19 |
Increasing attention has been focused on a structure control of multicrystalline silicon wafers. In this report, we stud... [more] | IMQ2017-19 pp.29-34 |
| NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] | 2017-06-25 10:20 |
Okinawa | Okinawa Institute of Science and Technology | Learning with linearly transformed l0 sparsity Naoki Marumo, Tomoharu Iwata (NTT) IBISML2017-8 |
We consider a class of non-convex optimization problems with linearly transformed sparsity constraints, which includes... [more] |
IBISML2017-8 pp.193-199 |
| PRMU, BioX | 2017-03-21 15:00 |
Aichi | Estimation of tool usage based on co-occurrence of part shape of tool and operation Kensho Teranishi, Nobutaka Shimada (Ritsumeikan Univ.) BioX2016-66 PRMU2016-229 |
We propose a method to estimate tool usage from the shape of unknown tool based on co-occurrence of the part shape of to... [more] | BioX2016-66 PRMU2016-229 pp.197-202 |
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| IBISML | 2017-03-06 14:30 |
Tokyo | Tokyo Institute of Technology | Degrees of freedom in submodular regularization Kentaro Minami, Fumiyasu Komaki (The University of Tokyo) IBISML2016-102 |
We study two classes of convex regularization related to submodular functions, which we call the submodular regularizati... [more] | IBISML2016-102 pp.17-24 |
| IT, SIP, RCS | 2017-01-19 16:10 |
Osaka | Osaka City Univ. | Source Estimation of en-face OCT by Sparse Signal Modeling Takumi Kawamura, Shunpei Ito, Shogo Muramatsu, Samuel Choi (Niigata Univ.) IT2016-79 SIP2016-117 RCS2016-269 |
This work proposes a perform source estimation method of en-face optical coherence tomography (OCT) through sparse sign... [more] |
IT2016-79 SIP2016-117 RCS2016-269 pp.195-200 |
| IBISML | 2016-11-16 15:00 |
Kyoto | Kyoto Univ. | Additive Model Decomposition with Global Sparse Structure for Multi-task Granger Causal Estimation Hitoshi Abe, Jun Sakuma (Univ. Tsukuba) IBISML2016-56 |
Causality estimation is one of the key issues in time-series data analysis. Granger causality is widely known as a form... [more] |
IBISML2016-56 pp.73-79 |
| AP, SAT, SANE (Joint) |
2016-07-20 15:20 |
Hokkaido | Otaru port marina | Fundamental Study on DOA Estimation with Khatri-Rao Transform Virtual-Array by Using Sparse Signal Reconstruction Suguru Ohashi, Hiroyoshi Yamada, Yoshio Yamaguchi (Niigata Univ.) AP2016-40 |
In DOA estimation applications using array antenna, it is desirable that the system can estimate incoming waves with les... [more] | AP2016-40 pp.19-24 |
| SANE | 2016-04-22 11:35 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Lagrange multiplier setting method for lp Compressive Sensing based DOA estimation Takeshi Amishima, Nobuhiro Suzuki (Mitsubishi Electric) SANE2016-5 |
This paper considers the problem on setting the appropriate value of Lagrange multiplier for lp Compressive Sensing base... [more] | SANE2016-5 pp.23-28 |
| EMM | 2016-03-02 15:40 |
Kagoshima | Yakushima Environ. and Cultural Vill. Center | [Poster Presentation]
Embedding method into DCT coefficients by using Wet Paper Code Yuri Higashi, Masaki Kawamura (Yamaguchi Univ.) EMM2015-86 |
We propose an embedding method into DCT coefficients by using wet paper code. By using the Wet Paper Code, watermark can... [more] | EMM2015-86 pp.57-62 |
| CAS | 2016-01-28 11:00 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Multiple omnidirectional sound source tracking using circular microphone array Yusuke Shiiki, Kenji Suyama (Tokyo Denki Univ.) CAS2015-61 |
In this paper, a method for omnidirectional sound source tracking using a circular microphone array is studied. The part... [more] | CAS2015-61 pp.1-6 |
| IBISML | 2015-11-27 14:00 |
Ibaraki | Epochal Tsukuba | [Poster Presentation]
Bayesian Masking for Sparse Feature Selection Yohei Kondo (Kyoto Univ.), Kohei Hayashi (NII), Shin-ichi Maeda (Kyoto Univ.) IBISML2015-88 |
In linear regression, we can reduce the weights of irrelevant features by L2 or L1 regularization. However, such a regul... [more] | IBISML2015-88 pp.265-272 |
| WBS | 2015-10-09 10:45 |
Tokyo | Waseda Univ. | Semi-Blind Estimation of Sparse Channels in OFDM Systems Tomoya Saito, Teruyuki Miyajima (Ibaraki Univ.) WBS2015-28 |
In this article, we consider semi-blind estimation of sparse channels in OFDM systems. The proposed semi-blind estimatio... [more] | WBS2015-28 pp.7-12 |
| ASN | 2015-05-15 14:30 |
Tokyo | Tokyo Denki University | [Poster Presentation]
Approaches for Interpersonal Emotion Visualizing at Work Yusuke Iwakura, Yuta Ijiri (Toyohashi Tech.), Miyuki Imada (NTT), Kei Hirose (Osaka Univ.), Hideyuki Uehara (Toyohashi Tech.) ASN2015-13 |
This paper shows a new analysis approach for creating visualization scenarios using actual human relationship at work. W... [more] | ASN2015-13 pp.69-72 |
| RCS, SR, SRW (Joint) |
2015-03-06 15:25 |
Tokyo | Tokyo Institute of Technology | Iterative Reception Employing Sparse Channel Estimation for OFDM Systems Yuta Takahashi, Kazuhiko Fukawa, Hiroshi Suzuki, Yuyuan Chang (Tokyo Tech) RCS2014-372 |
OFDM transmission schemes are adopted for the integrated services digital broadcasting-terrestrial (ISDB-T) and the down... [more] | RCS2014-372 pp.423-428 |
| EMM | 2015-01-29 13:15 |
Miyagi | Tohoku University | Embedding Method by using Wet Paper Code with FIST Method Takahiro Yamamoto, Masaki Kawamura (Yamaguchi Univ.) EMM2014-74 |
We propose an embedding method by using wet paper code (WPC) with FIST method. The watermark is embedded into DWT coef... [more] |
EMM2014-74 pp.45-50 |
| CS, CAS, SIP | 2014-03-07 13:00 |
Osaka | Osaka City University Media Center | Pool size control of boolean compressive sensing for adaptive group testing Yohei Kawaguchi, Tatsuhiko Osa, Shubhranshu Barnwal, Hisashi Nagano, Masahito Togami (Hitachi) CAS2013-128 SIP2013-174 CS2013-141 |
We propose a new method for adaptive group testing. A non-adaptive group testing based on boolean compressive sensing ha... [more] | CAS2013-128 SIP2013-174 CS2013-141 pp.221-225 |
| ASN, MoNA (Joint) |
2014-01-24 11:40 |
Ehime | Hotel Okudogo (Matsuyama) | Approach for Quantification Realization of Interpersonal Emotions Miyuki Imada (NTT), Kei Hirose (Osaka Univ.), Manabu Yoshida (NTT DOCOMO), Masato Matsuo (NTT) ASN2013-144 |
We have made a challenge for quantification realization of interpersonal emotion, which is emotion strength for another ... [more] | ASN2013-144 pp.153-158 |
| AP | 2014-01-23 11:45 |
Kagoshima | Hozan Hall (Kagoshima Prefectural Culture Center) | A Sparse Signal Processing Using Information of Incident Signal Power for DOA Estimation Yoshiki Takahashi, Nobuhiro Suzuki, Toshio Wakayama, Takeshi Amishima, Rokuzo Hara (Mitsubishi Electric) AP2013-152 |
A sparse signal processing (Compressed/Compressive Sensing) for Direction of Arrival (DOA) estimation is expected to be... [more] |
AP2013-152 pp.105-110 |
| NC, MBE (Joint) |
2013-12-21 10:15 |
Gifu | Gifu University | Conditional Density Estimation with Feature Selection Motoki Shiga (Gifu Univ.), Masashi Sugiyama (Tokyo Tech.) NC2013-56 |
On identification of the statistical dependency between inputs and outputs, an conditional density estimation is essenti... [more] | NC2013-56 pp.17-22 |
| IBISML | 2013-11-12 15:45 |
Tokyo | Tokyo Institute of Technology, Kuramae-Kaikan | [Poster Presentation]
Direct Conditional Probability Density Estimation based on Sparse Additive Models Motoki Shiga (Gifu Univ.), Masashi Sugiyama (Tokyo Inst. of Tech.) IBISML2013-43 |
On identification of the statistical dependency between inputs and outputs, an conditional density estimation is essenti... [more] | IBISML2013-43 pp.53-60 |
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