Chaotic associative memory using distributed patterns for image retrieval by shape information
Chaotic associative memory using distributed patterns for image retrieval by shape information
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DOI：
10.1109/ijcnn.2004.1380050
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发表时间：
2004-07
期刊：
影响因子：
--
通讯作者：
S. Kosuge;Y. Osana
中科院分区：
文献类型：
--
作者：
S. Kosuge;Y. Osana
我们提出了一种混沌联想记忆，使用分布式模式通过形状信息进行图像检索。该模型基于使用分布式模式的混沌联想记忆，该模式基于可以分离叠加模式的混沌联想记忆和能够以自组织方式生成与输入相对应的分布式表示模式的多赢家自组织神经网络。
We propose a chaotic associative memory using distributed patterns for image retrieval by shape information. This model is based on the chaotic associative memory using distributed patterns that is based on the chaotic associative memory which can separate superimposed patterns and the multi winners self-organizing neural network which has the ability to generate distributed representation patterns corresponding to input in a self-organizing manner.