Faculty of Technical Sciences

Subject: Mathematical elements of pattern recognition (17.0M552)

General information:
 
Category Theoretical-methodological
Scientific or art field Teorijska i primenjena matematika
ECTS 6

Enabling students to develop abstract thinking and acquire knowledge about the theory of pattern recognition.

To use the acquired knowledge in engineering subjects and in practice, postulate and solve mathematical models in engineering subjects using the knowledge about pattern recognition.

Theoretical lectures: Basic notions. Deciding functions. Pattern recognition with training. Classification algorithms. Applications. Eexercises: At the exercises, appropriate examples of theoretical instruction are being used to train the given material, and therefore the exercises contribute to the understanding of the given material.

Lectures, exercises and consultations. The Theoretical part is accompanied by appropriate examples that contribute to the understanding of the theoretical part. The agreed part of the material is oraly presented and delivered in written form as a seminar paper. Final part of the exam is in written form. In agreement with the teacher, the student studies the appropriate scientific work and prepares for the independent writing of scientific work.

Authors Title Year Publisher Language
Tou, J.T., Gonzalez, R.C. Pattern recognition principles 1974 Addison-Wesley, Reading English
Bishop, C.M. Pattern Recognition and Machine Learning 2006 Springer, New York English
Bezdek, J.C. et al. Fuzzy models and algorithms for pattern recognition and image processing 1999 Kluwer Academic Publishers, Massachusetts English
Duda, R. O., Hart, P. E., Stork, D. G. Pattern Classification 2005 Willey-Interscience, New York English
Course activity Pre-examination Obligations Number of points
Lecture attendance Yes Yes 5.00
Term paper Yes Yes 20.00
Theoretical part of the exam No Yes 40.00
Exercise attendance Yes Yes 5.00
Practical part of the exam - tasks No Yes 30.00
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Assoc. Prof. Nedović Ljubo

Associate Professor

Lectures

Senior Science Associate Janev Marko

Research Associate

Lectures

Assistant - Master Ciganović Radojka

Assistant - Master

Practical classes
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Asst. Prof. Bajić Papuga Buda

Assistant Professor

Computational classes

Assistant - Master Janjoš Aleksandar

Assistant - Master

Computational classes

Faculty of Technical Sciences

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© 2024. Faculty of Technical Sciences.