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Hierarchical Bayesian Learning Approaches for Different Labeling Cases Hierarchical Bayesian Learning Approaches for Different Labeling Cases

Achut Manandhar, Leslie Collins, David Dunson, Galen Reeves, Guillermo Sapiro, Carlo Tomasi, Achut Manandhar, Leslie Collins, David Dunson, Galen Reeves, Guillermo Sapiro, Carlo Tomasi
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For example, in a ground penetrating radar (GPR) based landmine detection problem, the alarm locations are only known in 2D coordinates on the earth's surface but unknown for individual target depths.  ...  Typically, in order to apply computer vision techniques to the GPR data, it is convenient to represent the GPR data as a 2D image.  ...  In this work, two algorithms are developed for GPR-based landmine detection that are suitable for set-based learning using i.i.d. or sequential observations. 1.1.1 GPR-based landmine detection Due to  ... 
fatcat:czsa235b5zebroqmr66qf5dkpy
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Achut Manandhar, Leslie Collins, David Dunson, Galen Reeves, Guillermo Sapiro, Carlo Tomasi, Achut Manandhar, Leslie Collins, David Dunson, Galen Reeves, Guillermo Sapiro, Carlo Tomasi. "Hierarchical Bayesian Learning Approaches for Different Labeling Cases Hierarchical Bayesian Learning Approaches for Different Labeling Cases."