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Learning to Classify Map Data with Cascaded VLSI Neural Network Building Block Chips

机译:学习用级联VLsI神经网络构建块芯片对地图数据进行分类

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摘要

Paper maps are an important but unwieldy data format. To increase its utility, copious amounts of map data have been scanned into a digital map knowledge base. The next task in this knowledge base is to reduce this data to its underlying feature form suitable for analysis.

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