Object Classification Via Transferable Belief Model: Case-Based Approach Aktarilabilir Inanc Modeli Araciligiyla Nesne Siniflandirma: Duruma Ozgu Yaklasim


Aribas K. M. , VURAL C. , Altun M.

28th Signal Processing and Communications Applications Conference, SIU 2020, Gaziantep, Türkiye, 5 - 07 Ekim 2020 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/siu49456.2020.9302214
  • Basıldığı Şehir: Gaziantep
  • Basıldığı Ülke: Türkiye

Özet

© 2020 IEEE.In this study, a belief function theory based supervised classifier that is able to determine the class of a ship automatically is developed. Transferable belief model is used to model the uncertainty and impreciseness about the measurements obtained from sensors. The case-based classifier developed in the context of the transferable belief model is realized and its accuracy is measured on an artificial database.