An Eigendecomposition Approach to Weighted Graph Matching Problems
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Graduated Assignment Algorithm for Graph Matching
IEEE Transactions on Pattern Analysis and Machine Intelligence
An Algorithm for Subgraph Isomorphism
Journal of the ACM (JACM)
On Median Graphs: Properties, Algorithms, and Applications
IEEE Transactions on Pattern Analysis and Machine Intelligence - Graph Algorithms and Computer Vision
Symbol Recognition: Current Advances and Perspectives
GREC '01 Selected Papers from the Fourth International Workshop on Graphics Recognition Algorithms and Applications
Synthesis of Representative Graphical Symbols by Computing Generalized Median Graph
GREC '99 Selected Papers from the Third International Workshop on Graphics Recognition, Recent Advances
Synthesis of median spectral graph
IbPRIA'05 Proceedings of the Second Iberian conference on Pattern Recognition and Image Analysis - Volume Part II
Median graphs: A genetic approach based on new theoretical properties
Pattern Recognition
A graph matching method and a graph matching distance based on subgraph assignments
Pattern Recognition Letters
Learning graph prototypes for shape recognition
Computer Vision and Image Understanding
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Generalized median graph is a general concept useful to capture the essential information of a set of graphs. In addition, spectral techniques can be used to obtain approximate solutions of graph matching problems in a reasonable time. In this work we use the novel concept of spectral median graph which takes advantage of both the median concept and the spectral techniques, to synthesize the representative of a set of graphical symbols. The results show that this concept represents appropriately the most important intra-class features, while rejecting small distortions and, for extension, it can be used to infer a prototype of a set of symbols.