A new algorithm based on selective cross correlation coefficients is proposed in order to search images under partial occlusion.
提出了一种新的基于选择互相关系数的目标识别算法用于搜索有局部遮挡的目标区域。
It USES Particle Swarm Optimization (PSO) algorithm to search the optimized partial contents which is the most similar in two documents.
为此，提出一种基于粒子群优化(PSO)的文档内部子内容的查重算法。
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