约束传播神经网络用于Huffman-Clowes场景标注

[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence Pub Date : 1990-11-06 DOI:10.1109/TAI.1990.130345

E. Tsao, Wei-Chung Lin

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引用次数: 9

摘要

作者提出了一种三层约束满足神经网络来执行Huffman-Clowes场景标注。给定一条线，网络为所有边缘建立一致的标签，或者检测到它在物理上是不可实现的。实验结果表明，该方法利用了网络固有的并行结构，比传统算法的速度更快。

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Constraint propagation neural networks for Huffman-Clowes scene labeling

The authors propose a three-layered constraint satisfaction neural network to perform Huffman-Clowes scene labeling. Given a line drawing the network establishes a consistent labeling for all the edges or detects that it is physically unrealizable. Experimental results show that this approach exploits the parallel architecture inherent in the network and is faster than the conventional algorithmic method.<>

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[1990] Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence

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