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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP | 2024-05-10 11:20 |
Kagawa | Kagawa Prefecture Social Welfare Center | Lossless Color Image Compression Based on Colorization by Cellular Neural Networks Shungo Saizuka, Seiya Kushi, Tasuku Kuroda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.)  NLP2024-13 |
Colorization is the process that restores colors on a grayscale image. Recently, various colorization-based encoding me... [more] |
NLP2024-13 pp.63-67 |
| NC, MBE, NLP, MICT (Joint) [detail] |
2024-01-24 10:00 |
Tokushima | Naruto University of Education | Hierarchical lossless compression of high dynamic range images using predictors based on cellular neural networks Seiya Kushi, Kazuki Nakashima, Hideharu Toda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2023-85 MICT2023-40 MBE2023-31 |
We have been developing a scalable lossless coding method using cellular neural networks (CNN) as predictors. This metho... [more] | NLP2023-85 MICT2023-40 MBE2023-31 pp.12-15 |
| NLP | 2023-11-29 10:40 |
Okinawa | Nago city commerce and industry association | A Study on General Purpose Data Transmission Scheme Using SD-CNN with Coupled Cells Koki Koase (Chukyo Univ.), Ryoichi Shibata (Aiphon Co.), Hideharu Toda (Chukyo Univ.), Taishi Iriyama (Saitama Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2023-71 |
The sigma-delta cellular neural network (SD-CNN) is an artificial vision system that mimics the retina of biology. SD-CN... [more] | NLP2023-71 pp.53-56 |
| ICTSSL | 2023-05-18 16:05 |
Niigata | (Primary: On-site, Secondary: Online) |
[Invited Talk]
From Multidimensional Mobile Communication To Multidimensional Network Masakazu Sengoku (Jigyo) ICTSSL2023-7 |
In the 1990s, an international symposium on multidimensional mobile communications started in Japan. The multi-dimension... [more] | ICTSSL2023-7 pp.35-40 |
| CAS, NLP | 2022-10-20 14:55 |
Niigata | (Primary: On-site, Secondary: Online) |
Hierarchical Lossless Coding with Arithmetic Coders for Each CNN Predictor Kazuki Nakashima, Ryo Nakazawa, Hideharu Toda, Hisashi Aomori (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Ichiro Matsuda, Susumu Itoh (TUS) CAS2022-23 NLP2022-43 |
We have been developing a scalable lossless coding method using the cellular neural networks (CNN) as predictors. This ... [more] |
CAS2022-23 NLP2022-43 pp.20-24 |
| CCS, NLP | 2022-06-09 16:25 |
Osaka | (Primary: On-site, Secondary: Online) |
User-guided Image Colorization by Cellular Neural Network Shungo Saizuka, Yuto Ozeki, Tasuku Kuroda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Hisashi Aomori (Chukyo Univ.) NLP2022-8 CCS2022-8 |
Many historically attractive and valuable images are taken as gray-scale images. On the other hand, since color informa... [more] |
NLP2022-8 CCS2022-8 pp.36-39 |
| NLP, CCS | 2021-06-11 11:50 |
Online | Online | A Study on Image Compression Method based on Color Quantization Method by Sigma-Delta Cellular Neural Network Fumitoshi Nakashima, Yuka Ito, Ai Mizuno (Chukyo Univ.), Ryohei Mizutani (YAMAZAKI MAZAK), Misa Fujita (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ), Hisashi Aomori (Chukyo Univ.) NLP2021-5 CCS2021-5 |
In recent years, Web services have become common and their use has been widespread. The PNG image format is basically u... [more] |
NLP2021-5 CCS2021-5 pp.20-23 |
| MBE, NC, NLP, CAS (Joint) [detail] |
2020-10-29 14:20 |
Online | Online | Analysis of the drift-diffusion properties in the mouse brain parenchyma by the functional integrative optical imaging method Akihisa Takahashi, Kenya Tanaka, Mitsuyuki Nakao, Norihiro Katayama (Tohoku Univ) MBE2020-17 |
Recently, it has been found that the vertebrate brain has a unique waste clearance pathway called the glymphatic system.... [more] | MBE2020-17 pp.23-26 |
| IMQ | 2018-12-21 15:40 |
Tokyo | Katsushika Campus, Tokyo University of Science | Analysis of incongruity between Binocular Retinal Images when rim occlusion occurred using Yellow-Blue Equiluminance random dots Shinya Mochizuki, Ayaka Nunomura (Tokai Univ.), Hiroaki Kudo (Nagoya Univ.), Mitsuho Yamada (Tokai Univ.) IMQ2018-20 |
In the previous study, we clarified that occlusion avoidance behavior occurred when gazing at the rim drawn by red-green... [more] | IMQ2018-20 pp.27-32 |
| NLP | 2018-08-08 15:25 |
Kagawa | Saiwai-cho Campus, Kagawa Univ. | Hierarchical Lossless Image Coding Using CNN Predictors Optimized by Adaptive Differential Evolution Yuki Kawai, Yuki Nagano, Hideharu Toda, Hisashi Aomori (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Ichiro Matsuda, Susumu Itoh (TUS) NLP2018-59 |
We have been proposed on hierarchical lossless image coding using predictors composed of Cellular Neural Network(CNN).Th... [more] | NLP2018-59 pp.35-38 |
| ASN, NS, RCS, SR, RCC (Joint) |
2018-07-13 11:20 |
Hokkaido | Hakodate Arena | Computational Capability of MEC & UE and Wireless Channel Condition Based Resource Allocation for Data Processing Time Minimization Ryuji Kobayashi, Koichi Adachi (UEC) RCS2018-119 |
Due to the rapid advancement of the computing power of mobile devices, the interest in mobile applications and services ... [more] | RCS2018-119 pp.189-194 |
| NLP | 2017-07-13 15:45 |
Okinawa | Miyako Island Marine Terminal | A Study of Image Inpainting Methods by using SD-CNN Ryohei Mizutani, Hideharu Toda, Hisashi Aomori (Chukyo Univ.), Sathit Prasomphan (King Mongkut Univ. of Tech. North Bangkok), Mamoru Tanaka (Sophia Univ.) NLP2017-37 |
In recent years, the practical use of digital images have been progressed because of the popularization and advance of i... [more] | NLP2017-37 pp.53-57 |
| NLP | 2017-03-14 11:15 |
Aomori | Nebuta Museum Warasse | Hierarchical Lossless Image Coding using Inheritance of Predictor-Prototypes and Designing of CNN Predictors based on Estimate of Coding Bits Hideharu Toda (Chukyo Univ.), Tsuyoshi Otake (Tamagawa Univ.), Ichiro Matsuda, Susumu Itoh (TUS), Hisashi Aomori (Chukyo Univ.) NLP2016-109 |
We proposed a hierarchical lossless image coding method using cellular neural network (CNN). It performs adaptive multi ... [more] | NLP2016-109 pp.19-24 |
| MBE, NC (Joint) |
2017-03-14 13:10 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | Analysis of temporal change of astrocyte morphology under hypoxial adaptation using higher-order image features Tomohiro Nishino, Sosuke Tanaka, Masahiro Nitta, Takuma Sugashi, Kazuto Masamoto, Yoichi Miyawaki (UEC Tokyo) NC2016-91 |
Astrocytes play an important role in controlling oxygen and nutrition from the blood to neurons. Although the shape of a... [more] | NC2016-91 pp.159-164 |
| MVE, IE, CQ, IMQ (Joint) [detail] |
2017-03-06 15:30 |
Fukuoka | Kyusyu Univ. Ohashi Campus | Study on incongruence between binocular images when gazing at rim of cylinder with equiluminance random dots Shinya Mochizuki, Reina Watnabe, Miyuki Suganuma (Tokai Univ.), Hiroaki Kudo, Noboru Ohnishi (Nagoya Univ.), Mitsuho Yamada (Tokai Univ.) IMQ2016-35 IE2016-150 MVE2016-58 |
The stereoscopic vision technology is applied as well as 3D movie in a wide field including the medical care. Stereoscop... [more] | IMQ2016-35 IE2016-150 MVE2016-58 pp.85-88 |
| MI | 2017-01-18 14:15 |
Okinawa | Tenbusu Naha | A Machine Learning Algorithm for the Automatic and Non-invasive Quality Assessment of Confluent Cells Kazuki Sato (Yamagata Univ.), Hiroto Sasaki, Ryuji Kato (Nagoya Univ.), Tetsuya Yuasa, Siu Kang (Yamagata Univ.) MI2016-98 |
In the research field of regenerative medicine, non-invasive method of cell quality classification has been expected for... [more] | MI2016-98 pp.101-106 |
| NLP | 2016-07-21 16:20 |
Hokkaido | Hokkaido Univ. Centennial Hall | [Invited Talk]
Intelligent Global Processing using Topology-Preservation Cellular-Automata Rules Masayuki Ikebe (Hokkaido Univ.) NLP2016-39 |
I describe intelligent global processing using cellular-automata (CA) with topology preservation. When we change the for... [more] | NLP2016-39 pp.27-32 |
| MBE, NC (Joint) |
2016-03-22 11:25 |
Tokyo | Tamagawa University | Image classification of astrocytes for pre- and post-hypoxia adaptation using deep convolutional neural network Sosuke Tanaka, Masahiro Nitta, Kazuto Masamoto, Yoichi Miyawaki (UEC Tokyo) NC2015-91 |
Abstract Astrocytes are a type of glial cells that regulate transportation of nutrition from blood to neurons. Previous... [more] | NC2015-91 pp.125-130 |
| MI | 2016-01-20 13:05 |
Okinawa | Bunka Tenbusu Kan | An Image-based Classification Algorithm for the Non-invasive Quality Evaluation of Confluent Cells Kazuki Sato (Yamagata Univ.), Hiroto Sasaki, Ryuji Kato (Nagoya Univ.), Tetsuya Yuasa, Siu Kang (Yamagata Univ.) MI2015-130 |
With recent progress of cell and tissue therapy in regenerative medicine, novel classification method of cell quality ha... [more] | MI2015-130 pp.277-282 |
| NLP, CAS | 2014-10-16 13:00 |
Ehime | Ehime University | Image Processing by Cellular Neural Networks with Updating Template by Using Reinforcement Learning Kazushige Natsuno, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ) CAS2014-58 NLP2014-52 |
In this study，we proposed Cellular Neural Networks with Updating Template by Using Reinforcement Learning.Performance of... [more] | CAS2014-58 NLP2014-52 pp.39-42 |
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