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We propose a low cost method for the correction of the output of OCR engines through the use of human labor. The method employs an error estimator neural network that learns to assess the error probability of every word from ground truth data. The error estimator uses features computed from the outputs of multiple OCR engines. The output probability error estimate is used to decide which words are...
Calculation of the uniaxial compressive strength (UCS) of Breccia rock specimens (BRS) is required for the correct determination of material strengths of marble specimens. However, this procedure is expensive and difficult since destructive laboratory tests (DLT) are needed to be done. Therefore, the results of non-destructive laboratory tests (NDLT) combined with different features that are extracted...
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