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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| EMM | 2019-03-14 11:30 |
Okinawa | TBD | Image Patch Modeling using Secure Computation of Sparse Dictionary Learning Takayuki Nakachi (NTT), Hitoshi Kiya (Tokyo Metro. Univ.)  EMM2018-115 |
With the advent of the big data era, digital content continues to increase. Sparse coding is attracting attention as an... [more] |
EMM2018-115 pp.129-134 |
| NC, MBE (Joint) |
2019-03-06 15:50 |
Tokyo | University of Electro Communications | PET Image Reconstruction by use of Dictionary Learning Naohiro OKumura, Hayaru Shouno (UEC) NC2018-85 |
Nowadays, Positron Emission Tomography (PET) scan is focused in the field of pathological diagnosis.In order to obtain a... [more] | NC2018-85 pp.221-226 |
| ITS, IE, ITE-MMS, ITE-HI, ITE-ME, ITE-AIT [detail] | 2019-02-20 14:45 |
Hokkaido | Hokkaido Univ. | Encrypted Image Classification by Using Secure OMP Computation Takayuki Nakachi (NTT), Hitoshi Kiya (Tokyo Metro. Univ.) ITS2018-84 IE2018-105 |
Currently, huge amounts of image/video are being recorded and uploaded every day by surveillance systems or SNS services... [more] | ITS2018-84 IE2018-105 pp.227-232 |
| IEE-CMN, EMM, LOIS, IE, ITE-ME [detail] | 2018-09-27 13:50 |
Oita | Beppu Int'l Convention Ctr. aka B-CON Plaza | Image Patch Modeling in Encrypted Domain using Sparse Coding Takayuki Nakachi (NTT), Hitoshi Kiya (Tokyo Metro. Univ.) LOIS2018-12 IE2018-32 EMM2018-51 |
Sparse coding represents observed signals effectively as a linear combination of a small number of bases which are chose... [more] | LOIS2018-12 IE2018-32 EMM2018-51 pp.13-18 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2018-06-13 15:50 |
Okinawa | Okinawa Institute of Science and Technology | 3D Super Resolution Microscopy using Convolutional Neural Network Masaru Tanaka (Waseda Univ.), Hideitsu Hino (ISM), Shigeyuki Namiki, Daisuke Asanuma, Kenzo Hirose (The Univ. of Tokyo), Noboru Murata (Waseda Univ.) IBISML2018-11 |
Super-resolution microscopy is a microscopy technique with a resolution beyond the diffraction limit of light. Despite t... [more] | IBISML2018-11 pp.75-80 |
| NC, IBISML, IPSJ-BIO, IPSJ-MPS [detail] | 2018-06-13 16:15 |
Okinawa | Okinawa Institute of Science and Technology | Decoding Covert Spatial Attention using Privacy-preserving Sparse Coding Takayuki Nakachi, Hiroyuki Ishihara (NTT), Hitoshi Kiya (Tokyo Metro. Univ.) NC2018-8 |
Brain-machine interface (BMI) has attracted much attention not only in biomedical engineering fields but also in ICT hum... [more] | NC2018-8 pp.15-20 |
| SIS, IPSJ-AVM, ITE-3DMT [detail] | 2018-06-07 10:20 |
Hokkaido | Jozankei View Hotel | Secure Computation of Sparse Coding for Privacy Protection Takayuki Nakachi (NTT), Hitoshi Kiya (Tokyo Metro. Univ.) SIS2018-2 |
Sparse coding represents observed signals effectively as a linear combination of a small number of bases which are chose... [more] | SIS2018-2 pp.7-12 |
| PRMU, MI, IE, SIP | 2018-05-17 17:00 |
Gifu | [Invited Talk]
Statistical Modeling of 3-D DFT Coefficients of Moving Images and Its Applications to Video Restoration Takahiro Saito, Takashi Komatsu (Kanagawa Univ.) SIP2018-6 IE2018-6 PRMU2018-6 MI2018-6 |
Recently we have presented moving-image denoising with 3-D Mean-Separation-type Short-Time DFT and demonstrated that it ... [more] | SIP2018-6 IE2018-6 PRMU2018-6 MI2018-6 pp.23-28 |
|
| WBS, IT, ISEC | 2018-03-09 09:50 |
Tokyo | Katsusika Campas, Tokyo University of Science | Bayes Optimal AMP Decoder for Sparse Superposition Codes Yuwa Hatae (Kyushu Univ.), Kazushi Mimura (Hiroshima City Univ.), Masanori Kawakita, Jun'ichi Takeuchi (Kyushu Univ.) IT2017-127 ISEC2017-115 WBS2017-108 |
Sparse superposition codes (SS codes), proposed by Barron and Joseph in 2010, are a class of error-correcting codes f... [more] |
IT2017-127 ISEC2017-115 WBS2017-108 pp.143-148 |
| 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 |
| IT | 2017-07-14 13:20 |
Chiba | Chiba University | Signature Design of Sparsely Spread CDMA Guanghui Song, Jun Cheng (Doshisha Univ.) IT2017-31 |
Sparsely spread code division multiple access (SCDMA) is a non-orthogonal superposition coding scheme that allows concu... [more] | IT2017-31 pp.85-90 |
| PRMU, IE, MI, SIP | 2017-05-25 14:10 |
Aichi | Dominant Line Extraction in Multimodal GIS Data Tomohiro Nishikawa, Yuichi Tanaka (TUAT) SIP2017-8 IE2017-8 PRMU2017-8 MI2017-8 |
In this report, we propose a multiple line extraction method from multimodal GIS data distributed in high dimensional sp... [more] | SIP2017-8 IE2017-8 PRMU2017-8 MI2017-8 pp.43-48 |
|
| SIP | 2016-08-26 10:35 |
Chiba | Chiba Institute of Technology, Tsudanuma Campus | Super resolution of vein images using convolutional neural networks Koji Kashihara (Tokushima Univ.) SIP2016-80 |
If super-resolution techniques improve the quality of near-infrared images with a low signal-to-noise ratio, they could ... [more] | SIP2016-80 pp.39-44 |
| IE | 2016-07-01 09:45 |
Okinawa | Study on Compression of Images Including Text by Sparse Coding Keisuke Inoue, Tomo Miyazaki, Yoshihiro Sugaya, Shinichiro Omachi (Tohoku Univ.) IE2016-36 |
For the image and video coding, it is an important task to preserve important information while compressing it into smal... [more] | IE2016-36 pp.5-10 |
|
| RCS | 2016-04-21 20:00 |
Aomori | Romantopia, A Landscape of Forest and Stars, Hirosaki City | [Invited Lecture]
A study on sparse chaos code multiple access scheme for physical layer security Eiji Okamoto, Keisuke Kunitomo (NITech) RCS2016-8 |
To realize higher-capacity wireless access systems, a non-orthogonal multiple access (NOMA) scheme, in which a superimpo... [more] | RCS2016-8 pp.41-46 |
| SIS | 2015-03-06 10:40 |
Tokyo | Meiji Univ. Nakano Campus (Tokyo) | High speed Sparse-coding Superresolution by Multiple Degenerated Basis Dictionaries Naoki Motohashi, Satoshi Nakamura, Toshihiro Suzuki (Ricoh) SIS2014-106 |
Single-frame Superresolution (Single-frame SR) is a technique for improving the quality of low resolution images, which ... [more] | SIS2014-106 pp.85-90 |
| SIS | 2015-03-06 11:05 |
Tokyo | Meiji Univ. Nakano Campus (Tokyo) | A Study on Learning-Based Super-Resolution By Sparse Coding Using Image Search Based on SSIM Kodai Azuma, Masayuki Kurosaki, Hiroshi Ochi (KIT) SIS2014-107 |
Super-Resolution is one of the methods used to enhance image resolution. Up until now, an Learning-Based Super-Resoluti... [more] |
SIS2014-107 pp.91-95 |
| MI | 2015-03-02 09:17 |
Okinawa | Hotel Miyahira | 4D-MRI Reconstruction using the low-rank plus sparse matrix decomposition Yukinojo Kitakami, Takashi Ohnishi, Yoshitada Masuda (Chiba Univ. Engineering), Koji Matsumoto (Chiba University Hospital), Hideaki Haneishi (Chiba Univ. Engineering) MI2014-54 |
4D-MRI can visualize and quantify the three-dimensional dynamics of the thoracoabdominal respiratory movement and allows... [more] | MI2014-54 pp.7-11 |
| 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 |
| IE, ITE-ME, IPSJ-AVM, ITE-CE [detail] | 2014-08-01 13:50 |
Chiba | A Study of Image Coding using Multiple Sparse Bases Sets based on Image Features Ji Wang, Yoshiyuki Yashima (Chiba Institute of Tech.), Motohiro Takagi, Hiroshi Fujii, Atsushi Shimizu (NTT) IE2014-28 |
In this paper, we propose a new image coding method using the multiple sparse bases sets. In our method, large amount of... [more] | IE2014-28 pp.35-40 |
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