| Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
| MMS, ME, AIT, IEICE-IE, IEICE-ITS [detail] |
2023-02-21
13:00 |
Hokkaido |
Hokkaido Univ. |
Fast designing method of additional patterns in self-referential holographic data storage
-- Approach using deep neural network --
Kazuki Chijiwa, Masanori Takabayashi (Kyushu Inst. of Tech.) |
In self-referential holographic data storage (SR-HDS) known as a purely one-beam holographic recording method, it has be... [more] |
MMS2023-7 ME2023-27 AIT2023-7
pp.35-40 |
| IEICE-IE, IEICE-ITS, MMS, ME, AIT [detail] |
2021-02-18
16:15 |
Online |
Online |
A Note on Cross-domain Recommendation Based on Multilayer Graph Analysis with Visual Features
Taisei Hirakawa, Keisuke Maeda, Takahiro Ogawa (Hokkaido Univ.), Satoshi Asamizu (NIT, Kushiro College), Miki Haseyama (Hokkaido Univ.) |
In this paper, we improve the accuracy of cross-domain recommendation methods, which have been recently studied as a sol... [more] |
MMS2021-12 ME2021-12 AIT2021-12
pp.59-63 |
| AIT, IIEEJ, AS, CG-ARTS |
2020-03-13
15:30 |
Tokyo |
Tokyo University of Technology
(Cancelled) |
Toward script translation in calligraphic works using deep learning
-- Character recognition of seal scripts --
Shohei Ninomiya, Masanori Nakayama, Atsushi Miyazawa, Issei Fujishiro (Keio Univ.) |
Calligraphic scripts are classified broadly into five types: seal, clerical, cursive, running, and standard. In this stu... [more] |
AIT2020-69
pp.75-78 |
| AIT, IIEEJ, AS, CG-ARTS |
2019-03-12
15:45 |
Tokyo |
Waseda Univ. |
Semantic Segmentation for 3D Human Models
Satoshi Yamaguchi, Yoshihiro Kanamori, Jun Mitani (University of Tsukuba) |
We propose a technique for semantic segmentation of 3D human models. Existing techniques for general 3D objects solely r... [more] |
AIT2019-80
pp.119-122 |
| ME, IEICE-IE, IEICE-ITS, MMS, HI, AIT [detail] |
2019-02-20
13:30 |
Hokkaido |
Hokkaido Univ. |
Evaluation of Multi-level Data Demodulation Using Convolutional Neural Networks for Holographic Data Storage
Yutaro Katano, Tetsuhiko Muroi, Nobuhiro Kinoshita, Norihiko Ishii (NHK) |
Holographic data storage (HDS) is a promising next generation archival memory with large capacity, high data-transfer ra... [more] |
MMS2019-20 HI2019-20 ME2019-42 AIT2019-20
pp.205-208 |
| IEICE-ITS, IEICE-IE, MMS, HI, ME, AIT [detail] |
2018-02-16
13:15 |
Hokkaido |
Hokkaido Univ. |
Suppression of Inter-symbol Interference by Convolutional Neural Networks for Holographic Data Storage
Yutaro Katano, Tetsuhiko Muroi, Kinoshita Nobuhiro, Norihiko Ishii (NHK) |
Holographic data storage (HDS) is a promising for next generation archival media. In reproduction, reproduced data of tw... [more] |
MMS2018-25 HI2018-25 ME2018-25 AIT2018-25
pp.267-270 |
| ME, AIT, IEICE-IE [detail] |
2017-10-06
08:30 |
Nagasaki |
|
Neural network-based estimation of degree of feeling that natural objects appear in photographic images
Manami Sasaki, Koji Iwano (Tokyo City Univ.) |
Recently, it is expected that the systems for automatically adding the suitable music to a target image will be develope... [more] |
ME2017-109 AIT2017-168
pp.75-80 |