05: Kognitive Systeme, Vorlesung, SS 2019, 15.05.2019

Autor

Rüdiger Dillmann, Alexander Waibel, Sebastian Stüker, Pascal Meißner

Herausgeber

KIT | Webcast

Beteiligtes Institut

Institut für Anthropomatik und Robotik (IAR)

Genre

Vorlesung

Beschreibung

05 |
0:00:00 Start
0:00:05 Classification Problem
0:00:49 Bayes Decision Theory
0:01:47 Two classes case
0:02:19 Classifier Discriminant Functions
0:03:17 Examples Decision boundaries
0:03:58 GaussianClassifier
0:04:36 Bivariate Normal Density
0:06:29 Forms for decision boundaries for the general bivariate normal case
0:07:12 Problems
0:08:20 Mixture Gaussians
0:09:55 Problems of Classifier Design
0:10:01 Non-Parametric Techniques: Parzen Windows
0:10:45 Parzen Windows
0:11:18 K-Nearest Neighbors (KNN)
0:12:25 KNN-Classifier: Problem
0:13:03 Problems of Classifier Design
0:14:34 Curse of Dimensionality
0:17:11 Principal Component Analysis (PCA)
0:29:16 Risk
0:39:16 Minimum Error Rate Classification
0:42:04 Parametric - Non-parametric
0:43:04 Decision Function g(x)
0:47:09 Linear Discriminant Functions
0:49:45 Discriminant Analysis
0:54:01 Fisher-Linear Discriminant
0:54:48 Linear Separable
0:57:55 Unsupervised Learning
0:58:48 Mixture Gaussians
1:00:17 Gaussian Mixtures
1:00:49 Unsupervised Learning
1:01:14 Mixture Densities

Laufzeit (hh:mm:ss)

01:14:33

Serie

Kognitive Systeme, Vorlesung, SS 2019

Publiziert am

16.05.2019

Fachgebiet

Informatik

Lizenz

KITopen-Lizenz