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find--k-best-1.00

于 2012-06-11 发布文件大小:27KB

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Implementation of the Murty algorithm to obtain the best K assignments. Includes the implementation of the Jonker-Volgenant algorithm. Usual applications are multiple target tracking algorithms, Joint Probabilistic Data Association (JPDA), Multiple Hypothesis Tracking (MHT), Global Nearest Neighbours (GNN), etc. Based on the original code by Jonker-Volgenant, and the Murty Matlab implementation by Eric Trautmann Can be used both from Java or Matlab. Time for a 100x100 assignment problem, with k=20: • Matlab implementation: 54.5 sec • Java implementation: 1 sec

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find--k-best-1.00

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