Presentation | 2014-10-16 Image processing by Cellular Neural Networks with Updating Template by Using Reinforcement Learning Kazushige NATSUNO, Yoko UWATE, Yoshifumi NISHIO, |
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Abstract(in English) | In this study, we proposed Cellular Neural Networks with Updating Template by Using Reinforcement Learning. Performance of CNN depends on template. In addition, the CNN can be varied processing by template. In a general way, the conventional CNN is input varied values. Also, a design of template is spatially and temporal uniform. Therefore, the conventional CNN is restricted to the performance by spatially and temporal uniform template. we proposed space varying CNN with using reinforcement learning by each cell values. In the proposed method, the templates are updated by center and neighboring output values. From some simulation results, we confirm that the proposed CNN is effective for image processing. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Cellular Neural Networks / Reinforcement Learning / Image Processing |
Paper # | CAS2014-58,NLP2014-52 |
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Committee | CAS |
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Conference Date | 2014/10/9(1days) |
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Registration To | Circuits and Systems (CAS) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Image processing by Cellular Neural Networks with Updating Template by Using Reinforcement Learning |
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Keyword(1) | Cellular Neural Networks |
Keyword(2) | Reinforcement Learning |
Keyword(3) | Image Processing |
1st Author's Name | Kazushige NATSUNO |
1st Author's Affiliation | Department of Electrical and Electronic Engineering, Tokushima University() |
2nd Author's Name | Yoko UWATE |
2nd Author's Affiliation | Department of Electrical and Electronic Engineering, Tokushima University |
3rd Author's Name | Yoshifumi NISHIO |
3rd Author's Affiliation | Department of Electrical and Electronic Engineering, Tokushima University |
Date | 2014-10-16 |
Paper # | CAS2014-58,NLP2014-52 |
Volume (vol) | vol.114 |
Number (no) | 249 |
Page | pp.pp.- |
#Pages | 4 |
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