java-k-best

Java tool that implements the Murty algorithm to obtain the best K assignments
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  • Rating:
  • License:
  • MIT License
  • Publisher Name:
  • David Miguel Antunes
  • Publisher web site:
  • http://code.google.com/u/111272089210258882316/
  • Operating Systems:
  • Mac OS X
  • File Size:
  • 28 KB

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java-k-best Description

java-k-best is a free and open-source implementation of the Murty algorithm to obtain the best K assignments. The project includes the implementation of the Jonker-Volgenant algorithm.The usual applications are multiple target tracking algorithms, Joint Probabilistic Data Association (JPDA), Multiple Hypothesis Tracking (MHT), Global Nearest Neighbours (GNN), etc.Moreover, you will be able to use java-k-best both from Java or Matlab.This is time for a 100x100 assignment problem, with k=20:· Matlab implementation: 54.5 sec· Java implementation: 1 sec java-k-best is a cross-platform utility capable of running on any operating system that comes with Java support (e.g. Mac OS X, Windows, Linux).


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