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Markus Grasmair
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- affiliation: University of Vienna, Austria
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2020 – today
- 2024
- [i9]Pankaj Gautam, Markus Grasmair:
Parameter identification in PDEs by the solution of monotone inclusion problems. CoRR abs/2403.04557 (2024) - [i8]Martin Ludvigsen, Markus Grasmair:
Maximum Discrepancy Generative Regularization and Non-Negative Matrix Factorization for Single Channel Source Separation. CoRR abs/2404.15296 (2024) - 2023
- [i7]Martin Ludvigsen, Markus Grasmair:
Adversarial Generative NMF for Single Channel Source Separation. CoRR abs/2305.01758 (2023) - 2022
- [j6]Geir Severin R. E. Langberg
, Mikal Stapnes, Jan F. Nygård, Mari Nygård, Markus Grasmair, Valeriya Naumova:
Matrix factorization for the reconstruction of cervical cancer screening histories and prediction of future screening results. BMC Bioinform. 23-S(12): 484 (2022) - [j5]Esten Nicolai Wøien, Markus Grasmair
A PDE-Based Method for Shape Registration. SIAM J. Imaging Sci. 15(2): 762-796 (2022) - [i6]Markus Grasmair:
A square root velocity framework for curves of bounded variation. CoRR abs/2203.06633 (2022) - 2021
- [c5]Vinay Chakravarthi Gogineni
Recurrent Time-Varying Multi-Graph Convolutional Neural Network for Personalized Cervical Cancer Risk Prediction. ACSCC 2021: 1541-1545 - [c4]Vinay Chakravarthi Gogineni
Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective. SSP 2021: 46-50 - [i5]Esten Nicolai Wøien, Markus Grasmair:
A PDE-based Method for Shape Registration. CoRR abs/2103.16537 (2021) - 2020
- [i4]Markus Grasmair:
Source Conditions for non-quadratic Tikhonov Regularisation. CoRR abs/2002.09336 (2020) - [i3]Markus Grasmair, Fredrik Hildrum:
Subgradient-based Lavrentiev regularisation of monotone ill-posed problems. CoRR abs/2005.08917 (2020)
2010 – 2019
- 2017
- [i2]Markus Grasmair, Timo Klock, Valeriya Naumova:
Adaptive multi-penalty regularization based on a generalized Lasso path. CoRR abs/1710.03971 (2017) - 2015
- [j4]Martin Bauer
Optical Flow on Moving Manifolds. SIAM J. Imaging Sci. 8(1): 484-512 (2015) - [i1]Martin Bauer, Markus Eslitzbichler, Markus Grasmair:
Landmark-Guided Elastic Shape Analysis of Human Character Motions. CoRR abs/1502.07666 (2015) - 2013
- [c3]Guozhi Dong
Scale and Edge Detection with Topological Derivatives. SSVM 2013: 404-415 - 2012
- [j3]Thomas Fidler, Markus Grasmair
Shape Reconstruction with A Priori Knowledge Based on Integral Invariants. SIAM J. Imaging Sci. 5(2): 726-745 (2012) - 2011
- [j2]Markus Grasmair
The residual method for regularizing ill-posed problems. Appl. Math. Comput. 218(6): 2693-2710 (2011)
2000 – 2009
- 2009
- [b1]Otmar Scherzer
Variational Methods in Imaging. Applied mathematical sciences 167, Springer 2009, ISBN 978-0-387-30931-6, pp. I-XIII, 1-320 - [c2]Markus Grasmair
Locally Adaptive Total Variation Regularization. SSVM 2009: 331-342 - 2007
- [j1]Markus Grasmair
The Equivalence of the Taut String Algorithm and BV-Regularization. J. Math. Imaging Vis. 27(1): 59-66 (2007) - 2005
- [c1]Markus Grasmair, Frank Lenzen, Andreas Obereder, Otmar Scherzer
A Non-convex PDE Scale Space. Scale-Space 2005: 303-315
Coauthor Index
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