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Steven Gold, Anand Rangarajan, "A Graduated Assignment Algorithm for Graph Matching," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 18, no. 4, pp. 377388, April, 1996.  
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@article{ 10.1109/34.491619, author = {Steven Gold and Anand Rangarajan}, title = {A Graduated Assignment Algorithm for Graph Matching}, journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {18}, number = {4}, issn = {01628828}, year = {1996}, pages = {377388}, doi = {http://doi.ieeecomputersociety.org/10.1109/34.491619}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, }  
RefWorks Procite/RefMan/Endnote  x  
TY  JOUR JO  IEEE Transactions on Pattern Analysis and Machine Intelligence TI  A Graduated Assignment Algorithm for Graph Matching IS  4 SN  01628828 SP377 EP388 EPD  377388 A1  Steven Gold, A1  Anand Rangarajan, PY  1996 KW  Graduated assignment KW  continuation method KW  graph matching KW  weighted graphs KW  attributed relational graphs KW  softassign KW  model matching KW  relaxation labeling. VL  18 JA  IEEE Transactions on Pattern Analysis and Machine Intelligence ER   
Abstract—A graduated assignment algorithm for graph matching is presented which is fast and accurate even in the presence of high noise. By combining graduated nonconvexity, twoway (assignment) constraints, and sparsity, large improvements in accuracy and speed are achieved. Its low order computational complexity [
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