Course Description

Course CodeCourse NameCreditsHours
6105026 Pattern Recognition Technology 3.0 3
Description 1. Introduction 2.Random vectors and their properties 3.Hypothesis testing 4. Parametric Classifiers 5.Parameter estimation 6.Nonparametric density estimation 7.Nonparametric Classification and error estimation 8.Successive parameter estimation 9.Feature extraction and linear mapping for signal representation 10.Feature extraction and linear mapping for classification 11.Clustering 12.Applications