A LINEARPROGRAMMING APPROACH FOR THE WEIGHTED GRAPH MATCHING PROBLEM. IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 15. pp. 522525.

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Abstract
A linear programming (LP) approach is proposed for the weighted graph matching problem. A linear program is obtained by formulating the graph matching problem in L1 norm and then transforming the resulting quadratic optimization problem to a linear one. The linear program is solved using a Simplexbased algorithm. Then, approximate 01 integer solutions are obtained by applying the Hungarian method on the real solutions of the linear program. The complexity of the proposed algorithm is polynomial time, and it is O(n6 L) for matching graphs of size n. The developed algorithm is compared to two other algorithms. One is based on an eigen decomposition approach and the other on a symmetric polynomial transform. Experimental results showed that the LP approach is superior in matching graphs than both other methods.
Item Type:  Article 

Subjects:  Systems 
Department:  College of Computing and Mathematics > lndustrial and Systems Engineering 
Depositing User:  SYED AMEENUDDIN HUSSAIN 
Date Deposited:  11 Jun 2008 07:38 
Last Modified:  01 Nov 2019 13:30 
URI:  http://eprints.kfupm.edu.sa/id/eprint/1985 