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 Zeilmann, A, Savarino, F, Petra, S and Schn\'f6rr, C (2020). Geometric Numerical Integration of the Assignment Flow. Inverse Problems. 36 034004 (33pp)\par \par  Censor, Y, Petra, S and Schn\'f6rr, C (2020). Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least Squares Case. J. Appl. Numer. Optimization (in press; arXiv:1911.05498). 2 15-62. http://jano.biemdas.com/archives/1060\par \par  Zern, A, Zisler, M, Petra, S and Schn\'f6rr, C (2020). Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment. Journal of Mathematical Imaging and Vision. https://doi.org/10.1007/s10851-019-00935-7\par \par  Zeilmann, A, Savarino, F, Petra, S and Schn\'f6rr, C (2019). Geometric Numerical Integration of the Assignment Flow. Inverse Problems. https://doi.org/10.1088/1361-6420/ab2772\par \par  H\'fchnerbein, R, Savarino, F, Petra, S and Schn\'f6rr, C (2019). Learning Adaptive Regularization for Image Labeling Using Geometric Assignment. preprint: arXiv. https://arxiv.org/abs/1910.09976\par \par  H\'fchnerbein, R, Savarino, F, Petra, S and Schn\'f6rr, C (2019). Learning Adaptive Regularization for Image Labeling Using Geometric Assignment. Proc. SSVM. Springer\par \par  Zisler, M, Zern, A, Petra, S and Schn\'f6rr, C (2019). Self-Assignment Flows for Unsupervised Data Labeling on Graphs. preprint: arXiv. https://arxiv.org/abs/1911.03472\par \par  Censor, Y, Petra, S and Schn\'f6rr, C (2019). Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least Squares Case. preprint: arXiv. https://arxiv.org/abs/1911.05498\par \par  Zern, A, Zisler, M, Petra, S and Schn\'f6rr, C (2019). Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment. preprint: arXiv. https://arxiv.org/abs/1904.10863\par \par  Zisler, M, Zern, A, Petra, S and Schn\'f6rr, C (2019). Unsupervised Labeling by Geometric and Spatially Regularized Self-Assignment. Proc. SSVM. Springer\par \par  Zeilmann, A, Savarino, F, Petra, S and Schn\'f6rr, C (2018). Geometric Numerical Integration of the Assignment Flow. preprint: arXiv. https://arxiv.org/abs/1810.06970\par \par  Zern, A, Zisler, M, Astr\'f6m, F, Petra, S and Schn\'f6rr, C (2018). Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment. GCPR\par \par  Dalitz, R, Petra, S and Schn\'f6rr, C (2017). Compressed Motion Sensing. Proc. SSVM. Springer. 10302\par \par  Zisler, M, Savarino, F, Petra, S and Schn\'f6rr, C (2017). Gradient Flows on a Riemannian Submanifold for Discrete Tomography. Proc. GCPR\par \par  Astr\'f6m, F, Petra, S, Schmitzer, B and Schn\'f6rr, C (2017). Image Labeling by Assignment. J. Math. Imag. Vision. 58 211?238. Papers/Astroem2017.pdf\par \par  Zisler, M, Astr\'f6m, F, Petra, S and Schn\'f6rr, C (2017). Image Reconstruction by Multilabel Propagation. Proc. SSVM. Springer. 10302\par \par  Bodnariuc, E, Petra, S, Schn\'f6rr, C and Voorneveld, J (2017). A Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry. Proc. GCPR\par \par  Astr\'f6m, F, Petra, S, Schmitzer, B and Schn\'f6rr, C (2016). The Assignment Manifold: A Smooth Model for Image Labeling. Proc. 2nd Int. Workshop on Differential Geometry in Computer Vision and Machine Learning (DIFF-CVML'16; oral presentation; Grenander best paper award)\par \par  Zisler, M, Petra, S, Schn\'f6rr, C and Schn\'f6rr, C (2016). Discrete Tomography by Continuous Multilabeling Subject to Projection Constraints. Proc. GCPR\par \par  Astr\'f6m, F, Petra, S, Schmitzer, B and Schn\'f6rr, C (2016). A Geometric Approach to Image Labeling. Proc. ECCV\par \par  Astr\'f6m, F, Petra, S, Schmitzer, B and Schn\'f6rr, C (2016). Image Labeling by Assignment. http://arxiv.org/abs/1603.05285\par \par  Zisler, M, Kappes, J H, Schn\'f6rr, C, Petra, S and Schn\'f6rr, C (2016). Non-Binary Discrete Tomography by Continuous Non-Convex Optimization. IEEE Comp. Imaging. 2 335-347\par \par  Bodnariuc, E, Petra, S, Poelma, C and Schn\'f6rr, C (2016). Parametric Dictionary-Based Velocimetry for Echo PIV. Proc. CGPR\par \par  Kappes, J H, Petra, S, Schn\'f6rr, C and Zisler, M (2015). TomoGC: Binary Tomography by Constrained Graph Cuts. Proc. GCPR\par \par  Denitiu, A, Petra, S, Schn\'f6rr, C and Schn\'f6rr, C (2014). Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections. Fundamenta Informaticae. 135 73?102\par \par  Petra, S, Schn\'f6rr, C and Schr\'f6der, A (2012). Critical Parameter Values and Reconstruction Properties of Discrete Tomography: Application to Experimental Fluid Dynamics. http://arxiv.org/abs/1209.4316\par \par  Nicola, A, Petra, S, Popa, C and Schn\'f6rr, C (2011). A general extending and constraining procedure for linear iterative methods. Int. J. Comp. Math. http://dx.doi.org/10.1080/00207160.2011.634002\par \par  Nicola, A, Petra, S, Popa, C and Schn\'f6rr, C (2009). On A General Extending And Constraining Procedure For Linear Iterative Methods. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/9761\par \par  Petra, S and Schn\'f6rr, C (2009). Tomopiv Meets Compressed Sensing. IWR, University of Heidelberg. http://www.ub.uni-heidelberg.de/archiv/9760\par \par  Petra, S and Schn\'f6rr, C (2009). TomoPIV meets Compressed Sensing. Pure Math. Appl. 20 49 ? 76. http://www.mat.unisi.it/newsito/puma/public_html/contents.php\par \par  Petra, S, Popa, C and Schn\'f6rr, C (2008). Enhancing Sparsity by Constraining Strategies: Constrained SIRT versus Spectral Projected Gradient Methods. Proc. 7th Workshop on Modelling of Environmental and Life Sciences Problems (WMM 08). Ed Acad Romane, Bucuresti, Constanta, Romania\par \par  Petra, S, Popa, C and Schn\'f6rr, C (2008). Enhancing Sparsity by Constraining Strategies: Constrained SIRT versus Spectral Projected Gradient Methods. Proc. 7th Workshop on Modelling of Environmental and Life Sciences Problems (WMM 08). Bucharest, Romania\par \par  Petra, S, Schr\'f6der, A, Wieneke, B and Schn\'f6rr, C (2008). On Sparsity Maximization in Tomographic Particle Image Reconstruction. Pattern Recognition ? 30th DAGM Symposium. Springer Verlag. 5096 294?303\par \par  Petra, S, Schn\'f6rr, C, Schr\'f6der, A and Wieneke, B (2007). Tomographic Image Reconstruction in Experimental Fluid Dynamics: Synopsis and Problems. Proc. 6th Workshop on Modelling of Environmental and Life Sciences Problems (WMM 07). Ed Acad Romane, Bucuresti, Constanta, Romania\par \par }