Pattern Recognition - Statistical Learning

Starts on

Ends on

Lecturer

I. Pitas,

Content and organization

Random variables and vectors. Decision functions. Classification algorithms utilizing decision functions. Classification based on distance. Classification based on Bayes decision theory. Artificial Neural Networks – Perceptron. Convolutional Neural Networks. Principal component analysis. Linear discriminant analysis. Estimation of probability distribution parameters. Analysis of similarity and web graphs. Vector quantization techniques. Programming assignments in C/C++ and MATLAB.

Course Type

ai-phd Course

Host Institution
Aristotle University of Thessaloniki

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