Quality Criteria for Multidimensional Object Recognition Based Upon Distance Matrices

Публікація:
Quality Criteria for Multidimensional Object Recognition Based Upon Distance Matrices

dc.contributor.author	Gorokhovatsky, A. V.
dc.contributor.author	Gorokhovatsky, V. A.
dc.contributor.author	Vlasenko, A. N.
dc.contributor.author	Vlasenko, N. V.
dc.date.accessioned	2022-05-20T21:05:25Z
dc.date.available	2022-05-20T21:05:25Z
dc.date.issued	2014
dc.description.abstract	The problems of evaluation ofthe image recognition quality in terms of applying structural methods are addressed. The similarity matrice between the descriptionsof objects for a finite base of images as the basic source of criterion formation is suggested. An approach to optimizing the proposed criteria is discussed. The results of experiments on calculating the probability of correct recognition are examined.	uk_UA
dc.identifier.citation	Quality Criteria for Multidimensional Object Recognition Based Upon Distance Matrices / A. V. Gorokhovatsky, V. A. Gorokhovatsky, A. N. Vlasenko, N. V. Vlasenko // Telecommunications and Radio Engineering. – 2014, Vol. 73, No 18. – P. 1661 – 1670.	uk_UA
dc.identifier.uri	https://openarchive.nure.ua/handle/document/20356
dc.language.iso	en_US	uk_UA
dc.subject	structural image description	uk_UA
dc.subject	similarity matrix	uk_UA
dc.subject	correctness criterion	uk_UA
dc.subject	recognition	uk_UA
dc.title	Quality Criteria for Multidimensional Object Recognition Based Upon Distance Matrices	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication