Abstract: The density peaks clustering algorithm is one of the density-based clustering algorithms. This algorithm has several advantages, including not requiring a preset number of clusters, ...
This is the offical implementation of paper Quasi-Dense Similarity Learning for Multiple Object Tracking. We present a trailer that consists of method illustrations and tracking visualizations. Our ...
Abstract: In this article, we propose a scheme, named QuickN, which can efficiently and securely enable nearest neighbor search over encrypted data on untrusted clouds. Specifically, we modify the ...
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