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Batch-adaptive rejection threshold estimation with application to OCR post-processing.

, , , and . Expert Syst. Appl., 42 (21): 8111-8122 (2015)

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Improvement of Embedded Human-Machine Interfaces Combining Language, Hypothesis and Error Models., , , and . DEXA Workshops, page 359-363. IEEE Computer Society, (2011)User-Defined Expected Error Rate in OCR Postprocessing by Means of Automatic Threshold Estimation., , , and . ICFHR, page 405-409. IEEE Computer Society, (2010)Efficient OCR Post-Processing Combining Language, Hypothesis and Error Models., , , and . SSPR/SPR, volume 6218 of Lecture Notes in Computer Science, page 728-737. Springer, (2010)Batch-adaptive rejection threshold estimation with application to OCR post-processing., , , and . Expert Syst. Appl., 42 (21): 8111-8122 (2015)Composition of Constraint, Hypothesis and Error Models to improve interaction in Human-Machine Interfaces., , , and . Inf. Fusion, (2016)Using Field Interdependence to Improve Correction Performance in a Transducer-Based OCR Post-Processing System., , , and . ICFHR, page 605-610. IEEE Computer Society, (2010)SEQENS: An ensemble method for relevant gene identification in microarray data., , , , , and . Comput. Biol. Medicine, (2023)Rejection Threshold Estimation for an Unknown Language Model in an OCR Task., , , and . SSPR/SPR, volume 6218 of Lecture Notes in Computer Science, page 738-747. Springer, (2010)