Foundations of Pattern recognition and Statistical machine learning

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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.


Senior undergraduate course

Participation terms



Spring semester



Modality (Online / In Person)


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