Katalog der Deutschen Nationalbibliothek

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Service hours in Frankfurt am Main from 1 December 2025: Monday to Friday 9:00-18:00 and Saturday 10:00-16:00
 
 
 


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Online Ressourcen 11 Tikhonov functionals incorporating tolerances in discrepancy term for inverse problems
Gralla, Phil. - Bremen : Staats- und Universitätsbibliothek Bremen, 2023
Online Ressource
Online Ressourcen 12 Hybrid Deep Learning: how combining data-driven and model-based approaches solves inverse problems in computed tomography and beyond
Schmidt, Maximilian. - Bremen : Staats- und Universitätsbibliothek Bremen, 2022
Online Ressource
Online Ressourcen 13 Nonnegative matrix factorization - theory, algorithms and applications
Fernsel, Pascal. - Bremen : Staats- und Universitätsbibliothek Bremen, 2022
Online Ressource
Artikel 14 Deep image prior for 3D magnetic particle imaging: A quantitative comparison of regularization techniques on Open MPI dataset
Enthalten in International journal on magnetic particle imaging Bd. 7, 2021, Nr. 1
Online Ressource
Online Ressourcen 15 Deep learning and inverse problems
Arridge, Simon. - Oberwolfach-Walke : Mathematisches Forschungsinstitut Oberwolfach gGmbH, 2019
Online Ressource
Artikel 16 Targeted Feature Extraction in MALDI Mass Spectrometry Imaging to Discriminate Proteomic Profiles of Breast and Ovarian Cancer
Enthalten in Proteomics / Clinical applications Bd. 13, 2019, Nr. 1. 8 S.
Online Ressource
Artikel 17 Regularization by Architecture: A Deep Prior Approach for Inverse Problems
Enthalten in Journal of mathematical imaging and vision 30.10.2019: 1-15
Online Ressource
Artikel 18 Tikhonov Functionals Incorporating Tolerances
Enthalten in Proceedings in applied mathematics and mechanics Bd. 17, 2018, Nr. 1: 703-704. 2 S.
Online Ressource
Artikel 19 A Survey on Surrogate Approaches to Non-negative Matrix Factorization
Enthalten in Vietnam journal of mathematics 12.10.2018: 1-35
Online Ressource
Artikel 20 Atmospheric inverse modeling via sparse reconstruction
Enthalten in Geoscientific model development Bd. 10, 2017, Nr. 10: 3695-3713
Online Ressource


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