オサナ ユウコ
Yuko Osana
長名 優子 所属 コンピュータサイエンス学部 コンピュータサイエンス学科 職種 准教授 |
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言語種別 | 英語 |
発行・発表の年月 | 1999/07 |
形態種別 | 国際会議論文 |
標題 | Solving the binding problem with feature integration theory |
執筆形態 | 共著 |
掲載誌名 | Proceedings of IEEE International Joint Conference on Neural Networks, Washington D.C. |
巻・号・頁 | (#2126) |
著者・共著者 | H. Kume,Y. Osana and M. Hagiwara |
概要 | In this paper, we propose a neural network model of visual system based on the feature integration theory. The proposed model has a structure based on the hierarchical structure of visual system and selectiveness of information by visual attention. We carried out computer simulations and confirmed that the proposed model can recognize plural objects which have some features in vision and solve the binding problem. (共同研究につき本人担当分抽出不可能) |