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| ASSOCIATIVE MEMORY BASED TACTILE IMAGE RECOGNITION |
| HU Weizhen, GU Xuezhen |
| National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, 100080 |
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Abstract Compased with vision,robotic tactile image are usually of low resolution,noisy and incomplete,so theclassification accuracy is often not satisfied when using conventional classifiers.In this paper,we present aclassifier based on the hopfield associative memory(HAM),and applied it successfully to the recognition oftactile images.The comparison between the associative memory classifier and three conventional classifiers isshown in the exnerimente.
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Received: 16 September 1992
Published: 15 November 1993
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