Large sample statistics in the domain of graphs
SSPR&SPR'10 Proceedings of the 2010 joint IAPR international conference on Structural, syntactic, and statistical pattern recognition
Maximum likelihood method for parameter estimation of bell-shaped functions on graphs
Pattern Recognition Letters
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The median and mean graph are basic building blocks for statistical graph analysis and unsupervised pattern recognition methods such as central clustering and graph quantization. This contribution provides sufficient conditions for consistent estimators of true but unknown central points of a distribution on graphs.