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Abstract

We discuss how to train and tune comparators aimed at multi-similarity-based classification of compound objects. The proposed approach is supported by a collection of techniques and algorithms for construction and use of comparator networks. The described methodology has been implemented as a software library and may be used for a variety of future applications.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  1. 1.Systems Research Institute, Polish Academy of SciencesWarsawPoland
  2. 2.Institute of InformaticsUniversity of WarsawWarsawPoland

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