Presentation | 1994/2/28 Improvement of Selective Attention Model Kenji Inada, Kunihiko Fukushima, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | ″Selective attention model″proposed by Fukushima has a large ab ility to recognize composite figures consisting of many patterns. Previously,Ashida et al.has attempted to use this model to recognize Chinese Characters,but the ability of their system to recognize distorted patterns was not large enough.We propose an improved Chinese character recognition system using the mechanism of the selective attention model.In our model,the strength of inhibitory connections on backward path is set larger than that of the forward path.On the other hand,Tanigawa et al.has proposed a neocognitoron which has threshold-control mechanism with local- feedback to improve recognition rate.Therefore,we introduced the threshold-control mechanism into the selective attention model.We have confirmed by computer simulation that our system recognizes Chinese characters more robustly than the previous model. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | selective attension model / local-feedback / threshold-control / Chinese character recognition |
Paper # | NC93-78 |
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Committee | NC |
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Conference Date | 1994/2/28(1days) |
Place (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Improvement of Selective Attention Model |
Sub Title (in English) | |
Keyword(1) | selective attension model |
Keyword(2) | local-feedback |
Keyword(3) | threshold-control |
Keyword(4) | Chinese character recognition |
1st Author's Name | Kenji Inada |
1st Author's Affiliation | Department of Biophysical Engineering,Faculty of Engineering Science,Osaka University() |
2nd Author's Name | Kunihiko Fukushima |
2nd Author's Affiliation | Department of Biophysical Engineering,Faculty of Engineering Science,Osaka University |
Date | 1994/2/28 |
Paper # | NC93-78 |
Volume (vol) | vol.93 |
Number (no) | 490 |
Page | pp.pp.- |
#Pages | 8 |
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