在全图搜索和邻域搜索中，提出了人脸相似度矩阵以进行有效的搜索。
In the full image search and local search, the similarity matrix is introduced to help matching faces efficiently.
实验结果证明，该算法在降低计算复杂度的同时，还能有效地保证搜索精度。
Experimental results show that the proposed algorithm can reduce computational complexity efficiently, and at the same time while, ensuring the search accuracy.
通过分析对比该算法与完全搜索算法和传统贪心算法的复杂性，证明了其在故障告警域重叠度较小情况下的有效性。
The complexity of GCDG is compared with both exhaustive search algorithm and traditional greedy search algorithm, and then its efficiency is proved in the small alarm overlapped domain.
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