Selected pattern recognition projects covering Bayesian classification, perceptron ensembles, PCA and neural networks on MNIST.
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Updated
Sep 1, 2026 - MATLAB
Selected pattern recognition projects covering Bayesian classification, perceptron ensembles, PCA and neural networks on MNIST.
(TEL311) at the Technical University of Crete: feature transformations (PCA, LDA), Bayesian decision theory, parameter estimation, linear and non-linear classifiers, neural networks, clustering and HMMs.
Bachelor's/specialist diploma project (C#, WinForms): spline-based mixture-distribution analysis — Bayesian classification, least-squares (MNK), local-maxima detection. Direct predecessor of the PhD research in spline-analyzer-dissertation.
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