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CZECH TECHNICAL UNIVERSITY IN PRAGUE
STUDY PLANS
2018/2019

Selected Topics in Pattern Recognition

The course is not on the list Without time-table
Code Completion Credits Range Language
XP33ROZ ZK 4 2+2s Czech
Lecturer:
Tutor:
Supervisor:
Department of Cybernetics
Synopsis:

Prerequisites: basic course in pattern recognition (e.g. P33ROD, 33RPZ).

Selected topics: Anderson's problem, Kozince algorithm, kernel perceptron,

nonlinear Fisher discriminant. Vapnik's learning theorz. Deterministic

learning. Unsupervised learning: Robbins algorithm and emprirical Bayesian

approach. Expectation-minimization algorithm. Recognition of sequences and

directed acyclic graphs. Markov models. Combination of weak classifiers:

boosting and bagging. AdaBoost.

Requirements:
Syllabus of lectures:
Syllabus of tutorials:
Study Objective:
Study materials:

Duda, Richard O.; Hart, Peter E.; Stork, David G.: Pattern Classification,

John Wiley, 2001

Note:
Further information:
No time-table has been prepared for this course
The course is a part of the following study plans:
Data valid to 2019-05-22
For updated information see http://bilakniha.cvut.cz/en/predmet12040104.html