@conference{_2000c tabouratzis,
author = "Tambouratzis, George",
abstract = "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
",
address = "Barcelona, Spain",
booktitle = "Proceedings of the 15th International Conference on Pattern Recognition",
doi = "10.1109/ICPR.2000.906254",
editor = "Sanfeliu, A., Villanueva, J.J., Vanrell, M., Alquezar, R., Jain, A.K., {\&} Kittler, J",
isbn = "0-7695-0750-6",
keywords = "handwritten character recognition; learning; artificial intelligence; neural nets; pattern classification",
month = "3-8 September",
organization = "IAPR",
pages = "1050-1053",
title = "{I}mproving the {C}lassification {A}ccuracy of the {S}canning n-tuple {M}ethod. ",
volume = "2",
year = "2000",
}