Archives: Thesis

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17DEC 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Recurrent Neural Networks – Part 4 (WS 20/21)
This video discusses Gated Recurrent Units and compares them to Elman and LSTM Cells. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Recurrent Neural Networks – Part 4 (WS 20/21)
16DEC 2020
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 27 – Kernel PCA and Sequence Kernels (WS 20/21)
In this video, we look at the Kernel PCA and advanced kernels such as sequence kernels. Watch on:FAU TVYouTube
Read more about Watch now: Pattern Recognition: Episode 27 – Kernel PCA and Sequence Kernels (WS 20/21)
16DEC 2020
Ph.D. Gallery
Alexander Preuhs
Model-Based and Data-Driven Geometry Alignment for Angiography Systems Tomography is the reconstruction of internal structures based on a sensory signal. X-ray cone-beam computed tomography (CBCT) measures the X-ray absorption with a source-detector gantry mounted on a C-shaped arm that rotates around the object. During the rotation, projection images are acquired. To obtain a tomographic reconstruction, […]Model-Based and Data-Driven Geometry Alignment for Angiography Systems Tomography is the reconstruction of internal structures based on a sensory signal. X-ray cone-beam computed tomography (CBCT) measures the X-ray absorption with a source-detector gantry mounted on a C-shaped arm that rotates around the object. During the rotation, projection images are acquired. To obtain a tomographic reconstruction, […]
Read more about Alexander Preuhs
16DEC 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Recurrent Neural Networks – Part 3 (WS 20/21)
This video discusses Long-Short-Term Memory Units. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Recurrent Neural Networks – Part 3 (WS 20/21)
15DEC 2020
Pattern Recognition WS 20/21
Watch now: Pattern Recognition: Episode 26 – Mercer’s Theorem and the Kernel SVM (WS 20/21)
In this video, we look at kernels for Support Vector Machines and the Perceptron and learn about Mercer’s Theorem. Watch on:FAU TVYouTube
Read more about Watch now: Pattern Recognition: Episode 26 – Mercer’s Theorem and the Kernel SVM (WS 20/21)
15DEC 2020
Deep Learning WS 20/21
Watch now: Deep Learning: Recurrent Neural Networks – Part 2 (WS 20/21)
This video discusses the training of simple RNNs using the backpropagation through time algorithm. Watch on:FAU TVFAU TV (no memes)YouTube Read the Transcript (Summer 2020) at:LMETowards Data Science
Read more about Watch now: Deep Learning: Recurrent Neural Networks – Part 2 (WS 20/21)