| Presentation | 2017-01-27 Toward Context-Dependent Robust Character Recognition using Large-scale Restricted Bayesian Network Hidemoto Nakada, Yuuji Ichisugi, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | We have been proposing a computational model of the cerebral cortex called BESOM, that models the cerebral cortex as restricted Bayesian network based on recent findings in the neuroscience area. Since BESOM is based on Bayesian network, it inherently allows bi-directional information flow, meaning that it can merge information extracted from concrete data with highly-abstract prior knowledge in a natural way. As a example of such kind of task, we report robust text recognition task with context information. We show that word information and word n-gram could be represented as a part of the network and actually they contribute the text recognition accuracy with noisy text images. We also show that the computational cost is approximately linear with the number of characters and words. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Bayesian Network / Text Recognition |
| Paper # | NC2016-59 |
| Date of Issue | 2017-01-19 (NC) |
| Conference Information | |
| Committee | NC / NLP |
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| Conference Date | 2017/1/26(2days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Implementation of Neuro Computing,Analysis and Modeling of Human Science, etc |
| Chair | Shigeo Sato(Tohoku Univ.) / Hisato Fujisaka(Hiroshima City Univ.) |
| Vice Chair | Masafumi Hagiwara(Keio Univ.) / Masaharu Adachi(Tokyo Denki Univ.) |
| Secretary | Masafumi Hagiwara(Kyoto Sangyo Univ.) / Masaharu Adachi(Tokyo Inst. of Tech.) |
| Assistant | Hisanao Akima(Tohoku Univ.) / Yoshihisa Shinozawa(Keio Univ.) / Hiroyuki Asahara(Okayama Univ. of Science) / Toshihiro Tachibana(Shonan Inst. of Tech.) |
| Paper Information | |
| Registration To | Technical Committee on Neurocomputing / Technical Committee on Nonlinear Problems |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Toward Context-Dependent Robust Character Recognition using Large-scale Restricted Bayesian Network |
| Sub Title (in English) | |
| Keyword(1) | Bayesian Network |
| Keyword(2) | Text Recognition |
| 1st Author's Name | Hidemoto Nakada |
| 1st Author's Affiliation | National Institute of Advanced Industrial Science and Technology(AIST) |
| 2nd Author's Name | Yuuji Ichisugi |
| 2nd Author's Affiliation | National Institute of Advanced Industrial Science and Technology(AIST) |
| Date | 2017-01-27 |
| Paper # | NC2016-59 |
| Volume (vol) | vol.116 |
| Number (no) | NC-424 |
| Page | pp.pp.65-70(NC), |
| #Pages | 6 |
| Date of Issue | 2017-01-19 (NC) |