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10MAR 2021
News
Two Awards at #BVM2021 for the Pattern Recognition Lab @UniFAU, Best Presentation: Katharina Breininger, Best Paper: Tristan Gottschalk Congratulations!
It’s a great pleasure to announce that colleagues of the Pattern Recognition Lab were again successful at the German Conference for Medical Image Processing “BVM 2021”. In this year, our group was able to win two awards at this exciting German conference. Katarina Breininger won the Best Presentation Award for her Abstract-Submission “Move Over There […]
Read more about Two Awards at #BVM2021 for the Pattern Recognition Lab @UniFAU, Best Presentation: Katharina Breininger, Best Paper: Tristan Gottschalk Congratulations!
08MAR 2021
News
DFG funds Font Group Recognition for Improved OCR
We are pleased that the German Research Foundation (DFG) funded our project “Font Group Recognition for Improved OCR”. It will be part of Phase III of OCR-D, the German initiative for OCR development. In total, FAU will receive 210.000 Eur for 24 months. This project aims to improve OCR for books from the 16th to […]
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08MAR 2021
News
Invited Talk: Timothy Odonga, Carnegie Mellon University Afrika – Fairness of Classifiers Across Skin Tones in Dermatology, March 10th 2021, 16h CET
It is a great pleasure to announce Timothy Odonga as speaker at our lab! Timothy will present his latest research on fairness of classifiers that was already featured on MICCAI and NeurIPS Fair ML for Health. Title: Fairness of Classifiers Across Skin Tones in DermatologyPresenter: Timothy Odonga, Carnegie Mellon University AfrikaDate: March 10th 2021, 16h […]
Read more about Invited Talk: Timothy Odonga, Carnegie Mellon University Afrika – Fairness of Classifiers Across Skin Tones in Dermatology, March 10th 2021, 16h CET
05MAR 2021
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Evaluation Measures and ROC Analysis
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 manual modifications were performed. Try it yourself! If you […]
Read more about Lecture Notes in Pattern Recognition: Evaluation Measures and ROC Analysis
05MAR 2021
News
Invited Talk: Dr. Mike Kestemont – Ecology and Cultural Heritage: Modelling the Historic Survival of Books and Authors with Unseen Species Models, March 10th 2021, 14h
Dr. Mike Kestemont is a long-term collaborator of FAU with respect to Digital Humanities. We finally managed to get him for an invited presentation on his latest research: Title: Ecology and cultural heritage: modelling the historic survival of books and authors with unseen species modelsDate: March 10th 2021, 14hLocation: https://fau.zoom.us/j/92257446759?pwd=WXRKM04zeFJtWU11TEVjVVNHYXkvQT09 Abstract: In this talk, I […]Dr. Mike Kestemont is a long-term collaborator of FAU with respect to Digital Humanities. We finally managed to get him for an invited presentation on his latest research: Title: Ecology and cultural heritage: modelling the historic survival of books and authors with unseen species modelsDate: March 10th 2021, 14hLocation: https://fau.zoom.us/j/92257446759?pwd=WXRKM04zeFJtWU11TEVjVVNHYXkvQT09 Abstract: In this talk, I […]
Read more about Invited Talk: Dr. Mike Kestemont – Ecology and Cultural Heritage: Modelling the Historic Survival of Books and Authors with Unseen Species Models, March 10th 2021, 14h
03MAR 2021
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Optimization Primer
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 manual modifications were performed. Try it yourself! If you […]
Read more about Lecture Notes in Pattern Recognition: Optimization Primer