09: Kognitive Systeme, Vorlesung, SS 2018, 30.05.2018

09|
0:00:00 Start
0:01:56 Pattern Recognition Overview
0:02:36 Supervised – Unsupervised
0:02:40 Unsepervised Classification
0:04:00 Supervised Classification
0:06:52 Classification Problem
0:14:31 Parametric – Non-Parametric
0:16:12 Bayes Decision Thepry
0:27:37 Two Classes case
0:30:50 Hypothetical class-conditional probability density function
0:32:10 A posteriori probabilities
0:34:28 Classifier Discriminant Funktions
0:39:33 Example Decision bounddries
0:43:25 Classifier Design in Practice
0:48:58 GaussianClassifier
0:51:16 Bivariante Normal Density
0:54:17 Classifier Discriminant Functions
1:05:01 Estimation of Parameters
1:07:41 Scatter Diagram
1:08:06 Forms for decision boundaries for the general bivariante normal case
1:13:37 Problems
1:16:55 Curse of Dimensionality
1:20:16 Principal Component Analysis (PCA)