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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2018/2019

Selected Topics in Pattern Recognition and Computer Vision

The course is not on the list Without time-table
Code Completion Credits Range
EP33VKR ZK 3 3s
The course is a substitute for:
Selected Topics in Pattern Recognition and Computer Vision (XEP33VKR)
Lecturer:
Tutor:
Supervisor:
Department of Cybernetics
Synopsis:

The course deals with fundamental results from computer vision,

pattern recognition, mathematics of uncertainty, and knowledge-based systems. Emphasis is put on analysis of images and videos, the use of semantical information, and pattern recognition. The course treats selected key classical results, as well as lastest areas of research, especially those which substantially influence the development in the subject field. Education is performed in the form of a reading group.

Requirements:

None.

Syllabus of lectures:

There are no standard lectures.

Syllabus of tutorials:

The selected topics and terms of the reading groups will be announced at http://cmp.felk.cvut.cz/cmp/courses/EP33VKR/Now/

The course lasts two semesters, appr. one reading group is organized each month.

Study Objective:

Using topics from pattern recognition and computer vision, teach students how to work with literature and present scientific results both orally and in a written form.

Study materials:

1. Richard O. Duda, Peter E. Hart, and David G. Stork. Pattern classification. Wiley Interscience Publication. John Wiley, New York, 2nd edition, 2001.

2. Michail I. Schlesinger and Vaclav Hlavac. Ten Lectures on Statistical and Structural Pattern Recognition. Kluwer Academic Publishers, Dordrecht, The Netherlands, 2002.

3. Keinosuke Fukunaga. Introduction to Statistical Pattern Recognition. Computer Science and Scientific Computing. Academic Press, San Diego, California, USA, 2nd edition, 1990.

Note:
Further information:
http://cmp.felk.cvut.cz/~toliageo/rg/course.html
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2019-03-21
For updated information see http://bilakniha.cvut.cz/en/predmet11924204.html