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| ====== Riemannian Geometric Statistics in Medical Image Analysis (Seminar) ====== | ====== Riemannian Geometric Statistics in Medical Image Analysis (Seminar) ====== | ||
| - | If you are interested, please write a short e-mail to jonathan.schwarz@iwr.uni-heidelberg.de. | + | |
| ===== Registration ===== | ===== Registration ===== | ||
| - | Please write a mail to jonathan.schwarz@iwr.uni-heidelberg.de until October 31st, 2020 if you want to participate. | + | Please write a mail to jonathan.schwarz@iwr.uni-heidelberg.de until October 31st, 2022 if you want to participate. |
| ===== Modalities ===== | ===== Modalities ===== | ||
| - | The Proseminar will take place every Friday from 4-6 pm starting in November. | + | The Seminar will take place every Friday from 4-6 pm starting at the 4th of November. |
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| You have to hand in a written summary of your topic the latest 7 days after your talk. | You have to hand in a written summary of your topic the latest 7 days after your talk. | ||
| * The summary should be created with LaTeX and should be handed in as a Pdf file. | * The summary should be created with LaTeX and should be handed in as a Pdf file. | ||
| - | * I recommend the [[https://www.springer.com/de/it-informatik/lncs/conference-proceedings-guidelines|LNCS LaTeX Template]], but you don't have to use it. | ||
| * The summary should be between 2 and 4 pages long | * The summary should be between 2 and 4 pages long | ||
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| Possible other topics are: | Possible other topics are: | ||
| - | * **Design and Processing of invertible orientation scores of 3D Images**[[https://link.springer.com/article/10.1007/s10851-018-0806-0|link]] | + | * **Design and Processing of invertible orientation scores of 3D Images** [[https://link.springer.com/article/10.1007/s10851-018-0806-0|link]] |
| + | * **Locally Adaptive Frames in the Roto-Translation Group and Their Application in Medical Imaging** [[https://link.springer.com/article/10.1007/s10851-016-0641-0|link]] | ||
| - | * **SymNMF: nonnegative low-rank approximation of a similarity matrix for graph clustering** by Kuang, Yun and Park, Journal of Global Optimization, 2015, {{ :teaching:st20:seminarmabi:kuang2015_sym_nmf.pdf |pdf}} | + | If there are any questions, please don't hesitate to ask and send an e-mail to jonathan.schwarz@iwr.uni-heidelberg.de. |
| - | * **k-MLE: A fast algorithm for learning statistical mixture models** by Frank Nielsen, arXiv preprint, 2012, {{ :teaching:st20:seminarmabi:nielsen2012_k-mle.pdf |pdf}} | + | |
| - | * **Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised | + | |
| - | Nonlinear Dictionary Learning** by Schmitz et al., SIAM Journal on Imaging Sciences, 2018, {{ :teaching:st20:seminarmabi:schmitz2018_wasserstein_dictionary.pdf |pdf}} | + | |
| - | * **Ising and Potts models on the hypercubic lattice** by Duminil-Copin H., arXiv preprint arXiv:1707.00520, 2017 [[https://link.springer.com/article/10.1007/s10851-018-0806-0|link]] (only one of the chapters 1, 2, 4, 5.1, 6.1) | + | |
| - | * **Information geometry connecting Wasserstein distance and Kullback–Leibler divergence via the entropy-relaxed transportation problem** by Shun-ichi Amari et. al., Information Geometry, Springer, 2018, {{:teaching:ft1819:seminar:amari2018wasserstein.pdf|pdf}} | + | |
| - | * **Escort Evolutionary Game Theory** by Marc Harper, arXiv, 2012, {{:teaching:ft1819:seminar:harper2011escort.pdf|pdf}} | + | |