java-k-bestJava tool that implements the Murty algorithm to obtain the best K assignments | |
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- 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
java-k-best Tags
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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