December 2020

25 to 30 of 52

13DEC 2020
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Episode 15 – LDA – Examples
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: Episode 15 – LDA – Examples
12DEC 2020
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Episode 14 – LDA – Original Formulation
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: Episode 14 – LDA – Original Formulation
12DEC 2020
Lecture Notes in Pattern Recognition
Lecture Notes in Pattern Recognition: Episode 13 – LDA – Rank-Reduced Form
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: Episode 13 – LDA – Rank-Reduced Form
11DEC 2020
Ph.D. Gallery
Tobias Würfl
Applications of Data Consistency Conditions in Cone-Beam Computed Tomography The mathematical model of computed tomography data acquisition shows that every such measurement contains a degree of redundancy. This redundancy can be used to formulate data consistency conditions which enable quantifying how accurately a measurement fulﬁlls the mathematical model. This enables compensating for inaccuracies in the […]Applications of Data Consistency Conditions in Cone-Beam Computed Tomography The mathematical model of computed tomography data acquisition shows that every such measurement contains a degree of redundancy. This redundancy can be used to formulate data consistency conditions which enable quantifying how accurately a measurement fulﬁlls the mathematical model. This enables compensating for inaccuracies in the […]
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11DEC 2020
News
Invited Talk by Mathias Unberath, Johns Hopkins University @JHUCompSci, Mon. Dec 14th, 16h
It’s a great pleasure to welcome Prof. Dr. Mathias Unberath back to FAU. This Monday, he will present his newest works to us! Title: Bridging Domains in Medical Imaging — Differentiable Mappings Between 2- and 3-Dimensional Data DomainsDate: Monday, December 14th, 16hLocation: https://fau.zoom.us/j/98207594739?pwd=T0lSeGxPOXVQQTkrTWI3djV0eDZjdz09 Abstract: Differentiably connecting 2- and 3-dimensional domains is of substantial interest in […]It’s a great pleasure to welcome Prof. Dr. Mathias Unberath back to FAU. This Monday, he will present his newest works to us! Title: Bridging Domains in Medical Imaging — Differentiable Mappings Between 2- and 3-Dimensional Data DomainsDate: Monday, December 14th, 16hLocation: https://fau.zoom.us/j/98207594739?pwd=T0lSeGxPOXVQQTkrTWI3djV0eDZjdz09 Abstract: Differentiably connecting 2- and 3-dimensional domains is of substantial interest in […]
Read more about Invited Talk by Mathias Unberath, Johns Hopkins University @JHUCompSci, Mon. Dec 14th, 16h
11DEC 2020
News
New PhD student
Noah Maul received his Master’s degree in Computer Science from Friedrich-Alexander-Universität Erlangen-Nürnberg and joined the Pattern Recognition Lab in December 2020 as a Ph.D. candidate under the supervision of Prof. Andreas Maier. The research project focuses on learning-based approaches for the quantification of blood flow in 4D digital subtraction angiography and is carried out in […]Noah Maul received his Master’s degree in Computer Science from Friedrich-Alexander-Universität Erlangen-Nürnberg and joined the Pattern Recognition Lab in December 2020 as a Ph.D. candidate under the supervision of Prof. Andreas Maier. The research project focuses on learning-based approaches for the quantification of blood flow in 4D digital subtraction angiography and is carried out in […]
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