@techreport{elediasc12714,
          author = {M. Salucci and N. Anselmi and G. Oliveri and A. Massa},
           title = {NDT-NDE Crack Characterization Through a Learning-by-Examples Approach},
       publisher = {University of Trento},
            year = {2016},
            type = {Technical Report},
             url = {http://www.eledia.org/students-reports/714/},
        abstract = {This document deals with the characterization of a single narrow crack in a planar conductive structure starting from eddy current testing (ECT) measurements. More precisely, the inversion problem at hand is formulated within the so-called learning-by-examples (LBE) paradigm, by considering the problem of estimating the dimensions of the defect as a regression one. Accordingly, a set of known input-output pairs is generated during an off-line phase and is given as input to a Support Vector Regressor (SVR) prediction model in order to train it on the relationship between defect and corresponding ECT data. Some numerical results are shown in order to verify the effectiveness, as well as the limits, of the proposed LBE technique when dealing with the presence of noise on testing data during the on-line inversion phase.},
        keywords = {Eddy current testing, inverse scattering, nondestructive testing and evaluation, statistical learning, learning-by-examples, support vector regression}
}