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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| 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 | 2011-07-01 14:10 |
Hokkaido | Shari-cho Kohminkan: Yme-hall Shiretoko | Image Processings of a Leaky Integrated-and-Fire Neuron by CNN Shintaro Maezawa (Sophia Univ.), Hisashi Aomori (TUS), Mamoru Tanaka (Sophia Univ.) NLP2011-44 |
LIFN(Leaky Integrated-and-Fire Neuron) is one of the neural circuit models of human. LIFN is a kind of spiking neuron. I... [more] | NLP2011-44 pp.113-118 |
| 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 | 2010-12-13 13:25 |
Tottori | Yonago Convention Center | A Global Optimization Method on DT-CNN Using Chaotic Noise by CA Tomohiro Fujita, Takeshi Ogura (Ritsumeikan Univ.) NLP2010-118 |
A global optimization with Discrete Time Cellular Neural Network (DT-CNN) is studied. To achieve a global optimization,... [more] | NLP2010-118 pp.37-41 |
| NLP, CAS | 2010-08-03 10:30 |
Tokushima | Naruto University of Education | Oscillatory Phenomena Depending on Network Topology of Two Template CNN Junji Fujii (Tokushima Univ.), Yasuteru Hosokawa (Shikoku Univ.), Yoshifumi Nishio (Tokushima Univ.) CAS2010-50 NLP2010-66 |
In our previous study, we have proposed a Two-Template CNN. This system can generate some kinds of oscillatory phenomena... [more] | CAS2010-50 NLP2010-66 pp.89-92 |
| 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 |
| NC, NLP, IPSJ-BIO [detail] | 2010-06-18 16:00 |
Okinawa | Ryukyu-daigaku-gozyu-syunen-kinenn-kaikan | Hierarchical Lossless Image Coding Using Cellular Neural Network Seiya Takenouchi, Hisashi Aomori (Tokyo Univ. of Science), Tsuyoshi Otake (Tamagawa Univ.), Mamoru Tanaka (Sophia Univ.), Ichiro Matsuda, Susumu Itoh (Tokyo Univ. of Science) NLP2010-11 NC2010-11 |
In this paper, a hierarchical lossless image coding scheme using cellular neural network (CNN) is proposed. The coding a... [more] | NLP2010-11 NC2010-11 pp.69-73 |
| 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 |
|
| NLP | 2009-03-10 13:00 |
Kyoto | A Hardware Inplementable Model of Sigma-Delta Cellular Neural Network Hisashi Aomori, Yuki Naito, Mamoru Tanaka (Sophia Univ.) NLP2008-155 |
The sigma-delta cellular neural network (SD-CNN) is a complete framework of a spatial domain sigma-delta modulator, and ... [more] | NLP2008-155 pp.25-30 |
|
| 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 |
|
| CAS, NLP | 2009-01-22 11:35 |
Miyazaki | Digital Spatio-Temporal Pattern Prediction by Binary Neural Networks with Evolutional Learning Tohru Abe, Toshimichi Saito (Hosei Univ.) CAS2008-70 NLP2008-100 |
This paper studies application of binary neural networks (BNN) to prediction for spatio-temporal patterns. In the app... [more] |
CAS2008-70 NLP2008-100 pp.37-40 |
|
| NLP | 2008-03-28 10:00 |
Hyogo | Applications of Cellular Neural Networks with Mixture Template Takashi Inoue, Masaru Nakano, Yoshifumi Nishio (Tokushima Univ.) NLP2007-167 |
In this research, we propose cellular neural networks using mixture template as an example of space-varying cellular n... [more] |
NLP2007-167 pp.1-6 |
|
| MBE | 2008-01-25 16:30 |
Fukuoka | Kyushu Univ. | [Poster Presentation]
Noise Reduction of CMOS Image Sensor by Cellular Neural Networks using Genetic Learning Jegoon Ryu, Toshihiro Nishimura (Waseda Univ.) MBE2007-103 |
In the image processing field, cellular neural networks (CNNs) have the merits of a high-speed parallel signal processin... [more] | MBE2007-103 pp.95-98 |
| NLP | 2007-08-07 11:10 |
Shizuoka | Synthesis of rule-dynamics by binary neural networks Tohru Abe, Toshimichi Saito (Hosei Univ.) NLP2007-57 |
This paper studies binary neural networks (BNNs) characterized by signum activation function and binary connection par... [more] |
NLP2007-57 pp.25-28 |
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| NLP | 2007-04-25 14:00 |
Nagano | Image Resolutuin compression based on Retina Model using DT-CNN Yoshiei Tanaka, Hisashi Aomori (Sophia Univ.), Tsuyoshi Otake (Tamagawa Univ.), Nobuaki Takahashi (IBM Japan,), Mamoru Tanaka (Sophia Univ.) NLP2007-4 |
In this paper, image resolution compression based on retina model using DT-CNN is proposed. By using sigma-delta modula... [more] |
NLP2007-4 pp.19-24 |
|
| NLP | 2007-04-25 17:30 |
Nagano | Image Tone Interpolation by Sigma-Delta Cellular Neural Network Yuki Naito, Hisashi Aomori (Sophia Univ.), Tsuyoshi Otake (Tamagawa Univ.), Nobuaki Takahashi (IBM Japan, Ltd.), Mamoru Tanaka (Sophia Univ.) NLP2007-10 |
The technique for adding images of binary is the best for the step of the image interpolation. Because making binary i... [more] |
NLP2007-10 pp.55-60 |
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