NDLI: Imbalanced pattern recognition: Concepts and evaluations

Content Provider	IEEE Xplore Digital Library
Author	Homenda, W. Lesinski, W.
Copyright Year	2014
Description	Author affiliation: Fac. of Math. & Comput. Sci., Univ. of Bialystok, Białystok, Poland (Lesinski, W.) \|\| Fac. of Math. & Inf. Sci., Warsaw Univ. Technol., Warsaw, Poland (Homenda, W.)
Abstract	In this paper we propose and investigate a concept of imbalanced pattern recognition problems and evaluation methods of solutions applied to solve such problems. The attention is focused on so called paper-to-computer technologies, but it is not limited to them due to possible direct generalization to other domains. Besides bringing a concept of imbalanced pattern recognition problem, classification quality from the perspective of single classes is considered. Parameters of binary classification and parameters and measures used in signal detection theory are adopted. Quality of classification in terms of one class contra all others is taken into account. Then, classifiers performance in frames of one class at the background of other classes and in frames of impact of other classes on the given on are evaluated. Finally, parameters characterizing global properties of classification are introduced and illustrated.
Starting Page	3488
Ending Page	3495
File Size	1258279
Page Count	8
File Format	PDF
ISSN	21614407
e-ISBN	9781479914845
DOI	10.1109/IJCNN.2014.6889783
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pattern recognition Feature extraction Optical character recognition software Shape Signal detection Standards Accuracy
Content Type	Text
Resource Type	Article

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