Δημοσίευση - Improving the Classification Accuracy of the Scanning n-tuple Method.

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Improving the Classification Accuracy of the Scanning n-tuple Method.

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Έτος: 2000
Συγγραφείς: Γιώργος Ταμπουρατζής
Επιμέλεια: Sanfeliu, A., Villanueva, J.J., Vanrell, M., Alquezar, R., Jain, A.K., & Kittler, J
Τόμος: 2
Τίτλος βιβλίου: Proceedings of the 15th International Conference on Pattern Recognition
Σελίδες: 1050-1053
Διεύθυνση: Barcelona, Spain
Οργανισμός: IAPR
Ημερομηνία: 3-8 September
ISBN: 0-7695-0750-6
DOI: 10.1109/ICPR.2000.906254
Περίληψη:
In this article, the application of the scanning n-tuple technique to classification tasks is studied. The performance of this technique is examined in a handwritten character recognition task where the accuracy is initially low. This task is employed as a case study for designing a general-purpose algorithm that improves the scanning n-tuple performance in hard classification tasks, by focusing on the characteristics of the pattern space. Experimental results indicate that the use of the algorithm results in a substantial improvement of the scanning n-tuple classification performance in comparison to previous results. This improvement is shown to be equivalent to that achieved by employing structural knowledge regarding the specific pattern space
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