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从K近邻算法、距离度量谈到KD树、SIFT+BBF算法,讲解详细，非常有用-From K neighbor algorithm and distance measurement when it comes to KD tree, SIFT+ BBF algorithm, explain in detail, very useful
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用LSH算法实现近似最近邻检索，并提高了效率-With LSH algorithm approximate nearest neighbor search, and improves efficiency
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In the proposed algorithm, these two issues are solved by a novel predicate, which is defined by the sequential probability ratio test (SPRT) and the minimal cost criterion. Starting from an over-segmented image, neighboring regions are progressivel
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详细介绍数据关联的相关知识，包含最近邻，JPDA的算法的详细推导。-Detailed data related knowledge, including the nearest neighbor, detailed derivation JPDA algorithm.
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Nearest Neighbour algorithm for a TSP with 7 cities. The solution changes as the starting point is changed
The nearest neighbour (NN) algorithm (a greedy algorithm) lets the salesperson choose the nearest unvisited city as his next move. This algor
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