Pattern Recognition Video Lectures

Pattern Recognition
'Pattern Recognition' Video Lectures by Prof. P.S. Sastry from IISc Bangalore
"Pattern Recognition" - Video Lectures
Introduction to Statistical Pattern Recognition
Overview of Pattern Classifiers
The Bayes Classifier for minimizing Risk
Estimating Bayes Error; Minimax and Neymann-Pearson classifiers
Implementing Bayes Classifier; Estimation of Class Conditional Densities
Maximum Likelihood estimation of different densities
Bayesian estimation of parameters of density functions, MAP estimates
Bayesian Estimation examples; the exponential family of densities and ML estimates
Sufficient Statistics; Recursive formulation of ML and Bayesian estimates
Mixture Densities, ML estimation and EM algorithm
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