Author: Andreas Maier

These are the lecture notes for FAU's YouTube Lecture "Pattern Recognition". This is a full transcript of the lecture video & matching slides. We hope, you enjoy this as much as the videos. Of course, this transcript was created with deep learning techniques largely automatically and only minor...

It is a great pleasure to announce a new guest presentation by Matthias Niessner from TU Munich! Title: 3D Semantic Scene UnderstandingDate: 21st of January, 2021, 12h, noon CETLocation: https://fau.zoom.us/j/93218875951?pwd=TXdVdi9nVTVRa09ya1V2aWk5Z0d1UT09 Abstract: In recent years, commodit...

In the last video on reinforcement learning, we look into the deep reinforcement learning techniques. We start looking into how Deep Mind beat Atari Games and in particular breakout. Furthermore, we look into the technology behind AlphaGo and AlphaGoZero to play Go, Chess, and Shogi on world-class ...

In this video, we introduce the concept of the independent component analysis. Watch on:FAU TVYouTube

This video discusses several other solution approaches to learning games such as Monte Carlo Techniques, Temporal Difference Learning, Q Learning, and learning universal function approximators for reinforcement learning using the policy gradient. Watch on:FAU TVFAU TV (no memes)YouTube Read t...

In this video, we show how to apply the EM Algorithm to Magnetic Resonance Imaging for simultaneous bias field correction and image segmentation. Watch on:FAU TVYouTube

Die Notfallumstellung auf Distanzschule hat einige Schulen, Lehrende und Eltern an ihre Grenzen gebracht. Insbesondere ist die technische Betreuung eine Herausforderung. Daher haben nun Studierende der Erlanger Informatik eine Kampagne zu deren Unterstützung gestartet. Unter der Mail-Adresse cs5...

This video explains a fundamental learning technique in reinforcement learning: Policy Iteration. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

In this video, we analyze the expectation-maximization algorithm and relate it to Kullback-Leibler statistics in the context of the missing information principle. Watch on:FAU TVYouTube

This video explains the basics of reinforcement learning: The Markov Decision Process and how to compute the expected future return. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science