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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 46  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
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
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
NLP 2022-08-02
15:05
Online Online A fundamental virtual clinical trial of neural prosthetic device based on ergodic cellular automaton neuron model
Haruto Suzuki, Torikai Hiroyuki (Hosei Univ.) NLP2022-35
In this paper, an ergodic cellular automaton neuron model and its differentiation method are proposed.
It is shown that... [more]
NLP2022-35
pp.35-38
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
CCS 2021-03-29
13:25
Online Online Neuromorphic Devices using Spatial Free Wiring of Conductive Polymer for Hardware Artificial Neural Networks
Emiliano Ali, Yoshiki Amemiya, Tetsuya Asai (Hokkaido Univ.), Megumi Akai-Kasaya (Osaka Univ.) CCS2020-22
Nanowires made of conductive polymer have a promising potential to be used in a wide range of applications in the electr... [more] CCS2020-22
pp.7-12
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
CCS 2017-11-10
11:25
Osaka Osaka Univ. On a Classification Function of an Asynchronous Cellular Automaton Spiking Neural Network
Taiki Naka, Hiroyuki Torikai (Kyoto Sangyo Univ.) CCS2017-29
In this paper, we consider a spike neural network consisting of asynchronous cellular automaton neurons, which has trans... [more] CCS2017-29
pp.45-48
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
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] 2017-06-24
09:30
Okinawa Okinawa Institute of Science and Technology Elementary cellular automata and dynamic binary neural networks
Takahiro Ozawa, Kazuma Makita, Toshimichi Saito (Hosei Univ.) NC2017-13
This paper studies basic dynamic of elementary cellular automata(ECA):
digital dynamical systems in which time, space a... [more]
NC2017-13
pp.93-97
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
NC, NLP
(Joint)
2017-01-27
13:00
Fukuoka Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. Dynamic Binary Neural Networks with Local Connection
Kazuma Makita, Toshimichi Saito (HU) NC2016-57
This paper studies of dynamic binary neural networks.
The network is characterized by a signum activation fuction and ... [more]
NC2016-57
pp.53-57
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
SDM, EID 2016-12-12
16:00
Nara NAIST Letter Recognition of Cellar Neural Network using Thin Film Transistors
Sumio Sugisaki, Tokiyoshi Matsuda, Mutsumi Kimura (Ryukoku Univ.) EID2016-26 SDM2016-107
We are developing cellular neural networks using thin film transistors. We realized the neuron consisting of eight TFTs ... [more] EID2016-26 SDM2016-107
pp.75-79
SDM, EID 2016-12-12
16:30
Nara NAIST Research of capacitor-type synapses in the hardware of the neural network
Koki Watada, Hiroki Nakanishi, Mutsumi Kimura, Tokiyoshi Matsuda (Ryukoku Univ.) EID2016-28 SDM2016-109
We are studying capacitor type synapses for the purpose of reducing power consumption when hardware of neural networks a... [more] EID2016-28 SDM2016-109
pp.85-88
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
EID, ITE-IDY, IEE-EDD, SID-JC, IEIJ-SSL [detail] 2016-01-28
14:10
Toyama Toyama Univ. Cellar Neural Network using Thin-Film Devices -- Operation Confirmation of Letter Recognition --
Mutsumi Kimura, Ryohei Morita, Sumio Sugisaki, Tokiyoshi Matsuda (Ryukoku Univ.) EID2015-28
We are developing cellular neural networks using thin-film devices. Because thin-film devices can be fabricated on large... [more] EID2015-28
pp.21-24
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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