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ECTS:
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5
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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 is the scientific discipline whose goal is the classification of objects into a number of categories or classes. These objects can be images (2D signals) or signal waveforms (1D signals) or any type of measurements that need to be classified. The objects are refered using the generic term patterns. Pattern recognition is an integral part of machine intelligence systems.
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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
- Combining Pattern Classifiers: Methods and Algorithms; L. I. Kuncheva; Wiley-Blackwell; 2004; ISBN: 978-0471210788
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1. semester
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course for
profile
Computer Science
course for
profile
Information Processing
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