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Šifra:
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34358
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ECTS:
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4
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Lecturers in charge:
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Prof. dr. sc.
Slobodan Ribarić
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Take exam:
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Studomat
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English level:
1,0,0
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All teaching activities will be held in Croatian. However, foreign students in mixed groups will have the opportunity to attend additional office hours with the lecturer and teaching assistants in English to help master the course materials. Additionally, the lecturer will refer foreign students to the corresponding literature in English, as well as give them the possibility of taking the associated exams in English.
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Load:
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| Lecture type | Total |
| Lectures |
45 |
* Load is given in academic hour (1 academic hour = 45 minutes)
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Description:
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Pattern recognition. Basic motivation. Pattern recognition model. Examples of pattern recognition systems. Relation: artificial intelligence ? pattern recognition. Feature extraction and selection. Linear and non-linear transformations. Feature coding. Linear decision functions. Non-linear decision functions. Learning procedures for decision functions. Statistical classification. Bayes classifier. Estimation of parameters.Non-numerical pattern recognition. Structural classification. Syntactic recognition. Stochactic Grammars and Languages.Cluster analysis. Examples of pattern recognition system design.
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Literature:
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- Pattern Recogniton; S. Theodoridis, K. Koutroumbas; Elsevier; 2009; ISBN: 978-0123695314
- Pattern Classification; R.O. Duda, P. E. Hart, D.G. Stork; J. Wiley, New York; 2001; ISBN: 978-0471056690
- Uvod u raspoznavanje uzoraka; L. Gyrgyek, N. Pavešić, S. Ribarić; Tehnička knjiga Zagreb; 1988; ISBN: 86-7059-054-9
- Pattern Recognition Principles; J.T. Tou, R.C. Gonzalez; Addison-Wesley; 1977; ISBN: 978-0201075878
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Prerequisit for:
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Enrollment:
Passed:
Mathematics 3 - C
Passed:
Mathematics 3 - EE
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6. semester
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Izborni predmeti
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module
Computer Science
Izborni predmeti
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module
Information Processing and Multimedia Systems
Izborni predmeti
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module
Software Engineering
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