| Deblurring and denoising of images by nonlocal functionals S Kindermann, S Osher, PW Jones Multiscale Modeling & Simulation 4 (4), 1091-1115, 2005 | 476 | 2005 |
| Generalized smart evolving fuzzy systems E Lughofer, C Cernuda, S Kindermann, M Pratama Evolving systems 6 (4), 269-292, 2015 | 184 | 2015 |
| Convergence analysis of minimization-based noise level-free parameter choice rules for linear ill-posed problems S Kindermann Electron. Trans. Numer. Anal 38, 233-257, 2011 | 133 | 2011 |
| SparseFIS: Data-driven learning of fuzzy systems with sparsity constraints E Lughofer, S Kindermann IEEE Transactions on Fuzzy Systems 18 (2), 396-411, 2010 | 121 | 2010 |
| On the convergence of the quasioptimality criterion for (iterated) Tikhonov regularization S Kindermann, A Neubauer Inverse Problems and Imaging 2 (2), 291-299, 2008 | 107 | 2008 |
| Swamp reducing technique for tensor decomposition C Navasca, L De Lathauwer, S Kindermann 2008 16th European Signal Processing Conference, 1-5, 2008 | 102 | 2008 |
| Some convergence results on the regularized alternating least-squares method for tensor decomposition N Li, S Kindermann, C Navasca Linear Algebra and its Applications 438 (2), 796-812, 2013 | 100 | 2013 |
| Identification of the diffusion coefficient in aone-dimensional parabolic equation V Isakov, S Kindermann Inverse problems 16 (3), 665, 2000 | 86 | 2000 |
| The quasi-optimality criterion for classical inverse problems F Bauer, S Kindermann Inverse Problems 24 (3), 035002, 2008 | 74 | 2008 |
| A simplified L-curve method as error estimator S Kindermann, K Raik arXiv preprint arXiv:1908.10140, 2019 | 48 | 2019 |
| Improved and extended results for enhanced convergence rates of Tikhonov regularization in Banach spaces A Neubauer, T Hein, B Hofmann, S Kindermann, U Tautenhahn Applicable Analysis 89 (11), 1729-1743, 2010 | 47 | 2010 |
| Subspaces of stability in the Cauchy problem for the Helmholtz equation V Isakov, S Kindermann Methods and Applications of Analysis 18 (1), 1-30, 2011 | 42 | 2011 |
| Synergy of inverse problems and data assimilation techniques MA Freitag, RWE Potthast Large Scale Inverse Problems—Computational Methods and Applications In the …, 2013 | 37 | 2013 |
| Denoising by BV-duality S Kindermann, S Osher, J Xu Journal of Scientific Computing 28, 411-444, 2006 | 32 | 2006 |
| Reconstruction of shapes and impedance functions using few far-field measurements L He, S Kindermann, M Sini Journal of Computational Physics 228 (3), 717-730, 2009 | 30 | 2009 |
| Convergence rates in the Prokhorov metric for assessing uncertainty in ill-posed problems HW Engl, A Hofinger, S Kindermann Inverse Problems 21 (1), 399, 2005 | 30 | 2005 |
| Recent results on the quasi-optimality principle F Bauer, S Kindermann Walter de Gruyter GmbH & Co. KG 17 (1), 5-18, 2009 | 29 | 2009 |
| On the degree of ill-posedness for linear problems with noncompact operators B Hofmann, S Kindermann | 27 | 2010 |
| Discretization independent convergence rates for noise level-free parameter choice rules for the regularization of ill-conditioned problems S Kindermann Electron. Trans. Numer. Anal 40, 58-81, 2013 | 25 | 2013 |
| The quasi-optimality criterion in the linear functional strategy S Kindermann, S Pereverzyev, A Pilipenko Inverse Problems 34 (7), 075001, 2018 | 24 | 2018 |
Edwin LughoferJohannes Kepler University LinzVerified email at jku.at
