Vector and parallel computing for matrix balancing
Annals of Operations Research
A Graduated Assignment Algorithm for Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
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This paper presents a new parallel algorithm to compute the graph-matching based on the Graduated Assignment. The aim of this paper is to perform graph matching in a current desktop computer, but, instead of executing the code in the generic processor, we execute a parallel code in the graphic processor unit. This computer can be embedded in a low-cost pattern recognition system or a mobile robot. Experiments show a speed-up of the run time around 400 times, which makes the use of attributed graphs to represent objects a valid solution.