Foundations of Pattern recognition and Statistical machine learning

Starts on 03/01/2022

Ends on 06/15/2022


I. Pitas


Aristotle University of Thessaloniki

Content and organization

Random variables and vectors. Decision functions. Classification algorithms utilizing decision functions. Classification based on distance. Classification based on decision theory. Principal component analysis. Linear discriminant analysis. Estimation of probability distribution parameters. Analysis of similarity and web graphs. Syntactic pattern recognition. Vector quantization techniques. Programming assignments in C/C++ and MATLAB.

Course attendance will be asynchronous in English, using the educational material found in CVML Web Lectures:

Compulsory bibliographical and/or programming assignments are foreseen to be carried out during the course.


Senior undergraduate course

Participation terms



Spring semester



Modality (Online / In Person)


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