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Polish Information Processing Society
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Annals of Computer Science and Information Systems, Volume 9

Position Papers of the 2016 Federated Conference on Computer Science and Information Systems

Recognition of Compound Objects Based on Network of Comparators

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DOI: http://dx.doi.org/10.15439/2016F571

Citation: Position Papers of the 2016 Federated Conference on Computer Science and Information Systems, M. Ganzha, L. Maciaszek, M. Paprzycki (eds). ACSIS, Vol. 9, pages 33–40 ()

Full text

Abstract. This paper proposes a methodology for compound objects' recognition based on comparators and comparator networks. The methodology is supported by a collection of techniques and algorithms for construction and learning of comparator networks. Formal description of the methodology is accompanied by selected examples of its application in reallife problems. The described methodology has been implemented as a software library and may be used for a variety of future applications.

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