| The course includes: Introduction to Pattern Recognition, Bayesian Decision Theory, Maximum-Likelihood & Bayesian Parameter Estimation, Non-Parametric Classification - Density Estimation, K-Nearest Neighbor Estimation, The Nearest-Neighbor Rule, Multi-Classifier - Positive Boolean Function, Linear Discriminant Functions, Pattern Recognition of High Dimensional Data Sets, Pattern Recognition for Remote Sensing Images, Biometric Certification, Video Surveillance, Accuracy Assessments and Other Related Topics. |
