The Rector's Order No. 18/2020 is designed in accordance with the methodology introduced by the Ministry of Health of the Czech Republic, ie the measures are divided into four levels, corresponding to the currently valid epidemiological situation in the Czech Republic.
Please pay close attention to the current status information at the CTU or FTS web sites.
The approved form of communication is also an email, so it is necessary to monitor it regularly for a specific message about the current situation of teaching from your teachers or additional messages from the Department of External Relations.
Let us to be considerate so that together we can manage this difficult time in the lives of each of us as best we can.
The main contact for coronavirus related issues remains the secretariat of the faculty treasurer - phone: 224 359 518 or 733 696 308 or email: email@example.com
Elements of pattern recognition. Basic PR concepts. Bayesian decision theory. Learning theory. Parametric classifiers. Context classifiers. Classification quality estimation. Vector support machines. Non-parametric classifiers. Feature selection. Cluster analysis.
The main aim of the course is to give a systematic account of the major topics in pattern recognition with emphasis on problems and applications of the statistical approach to pattern recognition. Basic concepts and methods of pattern recognition, incl. machine perception, probability models and computations, parameter estimation will be instructed.