It's great pleasure to welcome Prof. Dr. Jong Chul Ye from KAIST for a presentation to our lab! Title: GAN for Medical Image ReconstructionDate: Dec 4th 2020, 8:30 AMLocation: https://fau.zoom.us/j/95654127882?pwd=WmtFRXVsYS9wR1ViQ1lCVmZYUStHdz09 Abstract: Although deep neural networks have b...

This video discusses initialization techniques and transfer learning. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

In this video, we introduce basic concepts on how to regularize regression using L2 and L1 norms. Watch on:FAU TVYouTube

This video discusses normalization such as batch normalization and self normalizing units and explains the concepts of drop-out and drop-connect Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science

In this video, we look into some example applications of LDA and PCA. Watch on:FAU TVYouTube

This video discusses classical regularization techniques such as early stopping using a validation set, augmentation, and maximum a-posteriori methods that expand the loss function using a regularization term. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETow...

In this video, we have a look at the original formulation of LDA as Fisher Transform. Watch on:FAU TVYouTube

Luis Carlos Rivera received his Master’s degree in Medical Engineering, branch of Medical Image and Data Processing, from Friedrich-Alexander-Universität Erlangen-Nürnberg. He joined the Pattern Recognition Lab in November 2020 as a Ph.D. candidate under the supervision of Prof. Andreas Maier. His P...

This video discusses the problem of over- and underfitting. In order to get a better understanding, we explore the bias-variance trade-off and look into the effects of training data size and the number of parameters. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at...

In this video, we introduce a rank-reduced version of the LDA. Watch on:FAU TVYouTube