Subject: Pattern Recognition (12 - EK463)

Basic Information

Scientific or art field:Telecommunications and Signal Processing
Course specification

Course is active from 10.10.2008..

Introduction to the basic concepts in the field of shape recognition; introduction to the contemporary methods for shape recognition.
An overview of principles of contemporary methods for shape recognition. Ability to understand basic principles and methods used in shape recognition, as well as the possibility of simple knowledge extension working on the specific problem.
Statistical shape recognition: Bayes decision theory, parameter estimation and distribution, nearest neighbor method, linear discriminant. Dimensionality reduction: PCA analysis, Fisher discriminant, feature subset selection. Clustering, neural networks, Support Vector Machines, Hidden Markov models. Joint Learning.
Lectures; Auditory Practice; Computer Practice; Laboratory Practice; Consultations.
Vladimir CrnojevićPrepoznavanje oblika za inženjere2014FTN IzdavaštvoSerbian language
Duda, Hart and StorkPattern Classification20022nd Ed.English
Course activity Pre-examination ObligationsNumber of points
Project defenceYesYes30.00
Theoretical part of the examNoYes70.00
Name and surnameForm of classes
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Lončar-Turukalo Tatjana
Associate Professor

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Sečujski Milan
Associate Professor

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Radosavljević Miloš
Research Associate

Laboratory classes
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Ostojić Vladimir
Asistent sa doktoratom

Laboratory classes