Novel Graph Searching Methods for Image Analysis.

机译：一种新的图像分析图搜索方法。

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A generalization of the Artificial search algorithm, SSS*, is given, allowing it to handle incomplete and inconsistent data. A parallel formulation of the generalized SSS* is developed and implemented on a BBN Butterfly Plus parallel processor. In order to make the parallel version of SSS* as efficient as possible, a concurrent heap data structure (based on the work of Nageshwara and Kumar) is utilized. Theoretical speedup due to the use of the concurrent heap is shown. An automatic tree generator is developed to allow the testing of parallel SSS* on multiple trees. Empirical results are given for testing SSS* on 1 to 40 processors. Speedup proportional to the number of processors for up to 24 processors is achieved depending on the size of the search space. A procedure for achieving rapid output of solutions by using a tradeoff between the estimated complexity and quality of solutions was developed. Finally, future directions for research are presented. (RH)

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年度 1989
页码 1-60
总页数 60
原文格式 PDF
正文语种 eng
中图分类工业技术;
关键词
Algorithms; Automatic; Graphs; Image processing; Searching; Trees; Estimates; Formulations; Generators; Output; Parallel orientation; Quality; Solutions(General); Trade off analysis;

机译：算法;自动;图形;图像处理;搜索;树木;估计;配方;发生器;输出;平行方向;质量;解决方案（一般）;权衡分析;

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Novel Graph Searching Methods for Image Analysis.

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