Lab Projects & Theoretical Problems of the Pattern Recognition course held by ECE - NTUA during the Fall Semester of 2021-2022.
Lab 1: Visual Digit Recognition
Lab 2: Speech Recognition with Hidden Markov Models and Recurrent Neural Networks
Lab 3: Music Genre Recognition and Emotion Extraction
Problem Set 1: Maximum Likelihood Estimation, Minimax criterion, Bayes Error, Perceptron, KL Divergence, LMS, Bayes meets KNN, Expectation-Maximization
Problem Set 2: SVM, Hidden Markov Models, CART, MLP Backpropagation, KLT - PCA, Graphial Models, LDA, ICA, Logistic Regression, Conditional Independence