A graph theoretic approach to simulation and classification

DOI10.1016/j.csda.2013.09.026zbMath1471.62104OpenAlexW1979329584MaRDI QIDQ1615239

Fraser Newton, Biao Wu, Michael A. Kouritzin

Publication date: 2 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2013.09.026

zbMATH Keywords

simulationgraph theoryrandom fieldoptical character recognitionspatial correlation

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Random fields; image analysis (62M40) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

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Cites Work

• Boundary corrections for the expected Euler characteristic of excursion sets of random fields, with an application to astrophysics
• On Random Field Completely Automated Public Turing Test to Tell Computers and Humans Apart Generation
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