Decision-making rule efficiency estimation with applying similarity metrics

Anokhin, M.; Koryttsev, I.

Публікація:
Decision-making rule efficiency estimation with applying similarity metrics

dc.contributor.author	Anokhin, M.
dc.contributor.author	Koryttsev, I.
dc.date.accessioned	2018-03-26T14:33:53Z
dc.date.available	2018-03-26T14:33:53Z
dc.date.issued	2015
dc.description.abstract	In article the short description of the most often used methods of classification at pattern recognition is given. The main attention is paid to the methods allowing development of a system for image recognition in a real time scale. The features formation method on the base of two-dimensional spatial spectrums of objects images is offered and application of similarity metrics in a decision-making rule for image classification is described. Experimental data of correct and erroneous recognition probabilities as well as image classification time depending on a number of features and on the identification threshold value are presented and analyzed	uk_UA
dc.identifier.citation	Anokhin M. Decision-making rule efficiency estimation with applying similarity metrics / M. Anokhin, I. Koryttsev // Econtechmod. An international quarterly journal on economics in technology,new technologies and modelling processes – 2015. – Vol. 4, № 3 – P. 73–78.	uk_UA
dc.identifier.uri	http://openarchive.nure.ua/handle/document/4426
dc.language.iso	en	uk_UA
dc.publisher	LUBLIN–RZESZOW	uk_UA
dc.subject	image	uk_UA
dc.subject	classification	uk_UA
dc.subject	probability	uk_UA
dc.subject	recognition of images	uk_UA
dc.title	Decision-making rule efficiency estimation with applying similarity metrics	uk_UA
dc.type	Article	uk_UA
dspace.entity.type	Publication