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undergraduate thesis
Bayesov klasifikator u OpenCV biblioteci
2021. urn:nbn:hr:200:416475
Brestovac, Jelena
Josip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
Department of Computer Engineering and Automation
Chair of Automation and Robotics

Cite this document

Brestovac, J. (2021). Bayesov klasifikator u OpenCV biblioteci (Undergraduate thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:200:416475

Brestovac, Jelena. "Bayesov klasifikator u OpenCV biblioteci." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2021. https://urn.nsk.hr/urn:nbn:hr:200:416475

Brestovac, Jelena. "Bayesov klasifikator u OpenCV biblioteci." Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, 2021. https://urn.nsk.hr/urn:nbn:hr:200:416475

Brestovac, J. (2021). 'Bayesov klasifikator u OpenCV biblioteci', Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, accessed 29 January 2023, https://urn.nsk.hr/urn:nbn:hr:200:416475

Brestovac J. Bayesov klasifikator u OpenCV biblioteci [Undergraduate thesis]. Osijek: Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek; 2021 [cited 2023 January 29] Available at: https://urn.nsk.hr/urn:nbn:hr:200:416475

J. Brestovac, "Bayesov klasifikator u OpenCV biblioteci", Undergraduate thesis, Josip Juraj Strossmayer University of Osijek, Faculty of Electrical Engineering, Computer Science and Information Technology Osijek, Osijek, 2021. Available at: https://urn.nsk.hr/urn:nbn:hr:200:416475

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Metadata
TitleBayesov klasifikator u OpenCV biblioteci
Title (english)Bayes classifier in OpenCV library
AuthorJelena Brestovac
MentorDamir Filko (mentor)
Committee memberEmmanuel Karlo Nyarko (predsjednik povjerenstva)
GranterJosip Juraj Strossmayer University of Osijek
Faculty of Electrical Engineering, Computer Science and Information Technology Osijek
(Department of Computer Engineering and Automation)
(Chair of Automation and Robotics)
Osijek
Defense date and country2021-09-29, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract
Strojno učenje je grana umjetne inteligencije koja se bavi oblikovanjem algoritama koji svoju učinkovitost poboljšavaju na temelju empirijskih podataka. Kao jedna od korisnijih metoda strojnog učenja se ističe Bayesov klasifikator koji se bavi problemom vjerojatnosti pojave nekog uzorka. Spomenuti klasifikator je implementiran u OpenCV biblioteci. Jedna od primjena Bayesovog klasifikatora je određivanje spola čovjeka na temelju ulaznih podataka. Da bi se klasifikacija uspješno provela, potrebno je predati poznate podatke metodi za obuku kako bi se kasnije mogao klasificirati spol na temelju proizvoljnih ulaznih podataka. Primjena klasifikatora je prikazana u programskom jeziku C++.
Abstract (english)
Machine learning is a branch of artificial intelligence that deals with the design of algorithms that improve their efficiency based on empirical data. One of the most useful methods of machine learning is the Bayesian classifier, which deals with the problem of the probability of the occurrence of a sample. The mentioned classifier is implemented in OpenCV library. One of the potential applications of the Bayesian classifier is the determination of human gender based on input data. In order for the classification to be carried out successfully, it is necessary to submit the known data to the training function so that the gender can be classified later on the basis of arbitrary input data. The application of the classifier is shown in the C++ programming language.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:200:416475
Study programmeTitle: Undergraduate University Study Programme in Computer Engineering
Study programme type: university
Study level: undergraduate
Academic / professional title: sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva (sveučilišni/a prvostupnik/ prvostupnica (baccalaureus/baccalaurea) inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2021-11-15 16:07:48