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

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

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

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

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

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

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

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

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

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