# Pattern Recognition WS 20/21

## Watch now: Pattern Recognition: Episode 29 – Expectation Maximization – Introduction (WS 20/21)

Category: Pattern Recognition WS 20/21

In this video, we have a look at the expectation maximization algorithm using Gaussian Mixture Models. Watch on:FAU TVYouTube

## Watch now: Pattern Recognition: Episode 28 – Laplacian Support Vector Machines (WS 20/21)

Category: Pattern Recognition WS 20/21

In this video, we introduce the Laplacian SVM. Watch on:FAU TVYouTube

## Watch now: Pattern Recognition: Episode 27 – Kernel PCA and Sequence Kernels (WS 20/21)

Category: Pattern Recognition WS 20/21

In this video, we look at the Kernel PCA and advanced kernels such as sequence kernels. Watch on:FAU TVYouTube

## Watch now: Pattern Recognition: Episode 26 – Mercer’s Theorem and the Kernel SVM (WS 20/21)

Category: Pattern Recognition WS 20/21

In this video, we look at kernels for Support Vector Machines and the Perceptron and learn about Mercer's Theorem. Watch on:FAU TVYouTube

## Watch now: Pattern Recognition: Episode 25 – Support Vector Machines – Optimization (WS 20/21)

Category: Pattern Recognition WS 20/21

In this video, we see how strong duality helps us with the support vector machine optimization. Watch on:FAU TVYouTube

## Watch now: Pattern Recognition: Episode 24 – Duality in Optimization (WS 20/21)

Category: Pattern Recognition WS 20/21

In this video, we look into the concept of duality in optimization and strong duality in convex problems. Watch on:FAU TVYouTube

## Watch now: Pattern Recognition: Episode 23 – Support Vector Machines – Concept (WS 20/21)

Category: Pattern Recognition WS 20/21

In this video, we explain the basic concept of the support vector machine. Watch on:FAU TVYouTube

## Watch now: Pattern Recognition: Episode 22 – Norm-dependent Gradients (WS 20/21)

Category: Pattern Recognition WS 20/21

In this video, we look at how norms alter gradient directions during optimization. Watch on:FAU TVYouTube

## Watch now: Pattern Recognition: Episode 21 – Gradient Descent and Back-tracking Line Search (WS 20/21)

Category: Pattern Recognition WS 20/21

In this video, we look into optimization using gradient descent and back-tracking line search. Watch on:FAU TVYouTube

## Watch now: Pattern Recognition: Episode 20 – Multi-layer Perceptron (WS 20/21)

Category: Pattern Recognition WS 20/21

In this video, we have a short introduction to the multi-layer perceptron. Watch on:FAU TVYouTube