Detection of buried landmines using Bayesian model selection

Details Detection of buried landmines using Bayesian model selection Detection of buried landmines using Bayesian model selection

May 2001

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2001aipc..568..479g&link_type=abstract

BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: 20th International Workshop. AIP Conference Proceedi

Computer Science

Information Theory

Acoustical Measurements And Instrumentation, Data Analysis: Algorithms And Implementation, Data Management, Information Theory And Communication Theory

Scientific paper

This paper discusses the technology, data and ground surface-velocity models to be used in addressing the identification/detection inference problem engendered by a recently developed acoustic landmine detection system. The landmine detection problem is formulated as a model selection problem and important aspects of computing the evidence for the models are given. .

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