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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.) |
(To be available after the conference date) [more] | |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| NLP | 2013-10-29 14:00 |
Kagawa | Sanport Hall Takamatsu | Relationship between Oscillatory Phenomena and Eigenvalues in Cellular Neural Networks Using Two Kinds of Cloning Templates Yasuteru Hosokawa (Shikoku Univ.), Yoshifumi Nishio (Tokushima Univ.) NLP2013-102 |
Many kinds of modi ed Cellular Neural Networks are proposed. A disadvantage of these CNNs is a complexity in structure. ... [more] | NLP2013-102 pp.169-174 |
| NLP | 2011-05-26 13:00 |
Kagawa | Olive park olive memorial hall | Cellular Neural Networks with Switching Two Types of Templates Yoshihiro Kato, Yasuhiro Ueda, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2011-1 |
In this study, we propose Cellular Neural Networks with switching two types of templates. In the CNN, space varying syst... [more] | NLP2011-1 pp.1-4 |
| MBE | 2011-01-27 11:25 |
Kagoshima | Kagoshima University | Measurement and Analysis of Spontaneous Activity emerging in Miniature Neuronal Networks consisted of Rat Hippocampal Cells Lui Yoshida, Aki Saito, Hiroyuki Moriguchi, Kiyoshi Kotani, Yasuhiko Jimbo (Univ. of Tokyo) MBE2010-81 |
One of the methods for exploring the principles of large neuronal network systems consisted of hundreds of millions of c... [more] | MBE2010-81 pp.13-16 |
| NC, NLP | 2011-01-25 11:45 |
Hokkaido | Hokakido Univ. | CNN Template Design that Obeyed BP Method from a Mathematical Point of View Masashi Nakagawa, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) NLP2010-146 NC2010-110 |
In previous study, we have proposed template design method of cellular neural networks with back propagation algorithm. ... [more] |
NLP2010-146 NC2010-110 pp.123-127 |
| NLP, CAS | 2010-08-03 10:30 |
Tokushima | Naruto University of Education | Template Design of CNN by BP with Annealing Noise Masashi Nakagawa, Yoko Uwate, Yoshifumi Nishio (Tokushima Univ.) CAS2010-51 NLP2010-67 |
In previous study, we proposed template design method of cellular neural networks with back propagation algorithm. In t... [more] |
CAS2010-51 NLP2010-67 pp.93-98 |
| NLP | 2010-03-09 08:30 |
Tokyo | Oversampling Sigma-Delta Cellular Neural Networks using MASH Masatake Hirano (Sophia Univ.), Hisashi Aomori (Tokyo Univ. of Sci.), Tsuyoshi Otake (Tamagawa Univ.), Mamoru Tanaka (Sophia Univ.) NLP2009-157 |
The sigma-delta cellular neural network (SD-CNN) is a novel framework of spatial domain sigma-delta modulation utilizin... [more] |
NLP2009-157 pp.1-4 |
|
| NLP | 2009-12-21 15:15 |
Iwate | Annealing Method for Cellular Neural Networks Takefumi Konishi (Sophia Univ.), Hisashi Aomori (Tokyo Univ. of Sience), Tsuyoshi Otake (Tamagawa Univ.), Nobuaki Takahashi (IBM), Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Sience), Mamoru Tanaka (Sophia Univ.) NLP2009-135 |
In this paper, a novel lossless image coding method based on the lifting wavelet transform using discrete-time cellular ... [more] | NLP2009-135 pp.49-52 |
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| NLP | 2009-02-28 14:00 |
Kanagawa | Learnming of CA rules for Digital BNN Shutaro Kabeya, Tohru Abe, Toshimichi Saito (HUHosei Univ.) NLP2008-142 |
This paper studies a GA based learning algorithm of digital binary neural networks for approximation of desired Boolean ... [more] | NLP2008-142 pp.61-64 |
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