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ORCIDGabriele Steidl
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- affiliation: University of Kaiserslautern
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2020 – today
- 2022
[i23]Philipp Flotho, Cosmas Heiss, Gabriele Steidl, Daniel J. Strauss:
Lagrangian Motion Magnification with Double Sparse Optical Flow Decomposition. CoRR abs/2204.07636 (2022)- [i22]Florian Beier, Robert Beinert, Gabriele Steidl:
Multi-Marginal Gromov-Wasserstein Transport and Barycenters. CoRR abs/2205.06725 (2022) - [i21]Robert Beinert, Cosmas Heiss, Gabriele Steidl:
On Assignment Problems Related to Gromov-Wasserstein Distances on the Real Line. CoRR abs/2205.09006 (2022) - [i20]Fabian Altekrüger, Alexander Denker, Paul Hagemann, Johannes Hertrich, Peter Maass, Gabriele Steidl:
PatchNR: Learning from Small Data by Patch Normalizing Flow Regularization. CoRR abs/2205.12021 (2022) - 2021
- [j76]Martin Ehler, Manuel Gräf, Sebastian Neumayer, Gabriele Steidl:
Curve Based Approximation of Measures on Manifolds by Discrepancy Minimization. Found. Comput. Math. 21(6): 1595-1642 (2021) - [j75]Robert Beinert
, Gabriele Steidl:
Robust PCA via Regularized Reaper with a Matrix-Free Proximal Algorithm. J. Math. Imaging Vis. 63(5): 626-649 (2021) - [j74]Marzieh Hasannasab, Johannes Hertrich, Friederike Laus, Gabriele Steidl:
Alternatives to the EM algorithm for ML estimation of location, scatter matrix, and degree of freedom of the Student t distribution. Numer. Algorithms 87(1): 77-118 (2021) - [j73]Marzieh Hasannasab, Johannes Hertrich, Friederike Laus, Gabriele Steidl:
Correction to: Alternatives to the EM algorithm for ML estimation of location, scatter matrix, and degree of freedom of the Student t distribution. Numer. Algorithms 88(1): 521-522 (2021) - [c28]Anna Andrle, Nando Farchmin, Paul Hagemann, Sebastian Heidenreich, Victor Soltwisch, Gabriele Steidl:
Invertible Neural Networks Versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence. SSVM 2021: 528-539 - [i19]Robert Beinert, Peter Jung, Gabriele Steidl, Tom Szollmann:
Super-Resolution for Doubly-Dispersive Channel Estimation. CoRR abs/2101.11544 (2021) - [i18]Anna Andrle, Nando Farchmin, Paul Hagemann, Sebastian Heidenreich, Victor Soltwisch, Gabriele Steidl:
Invertible Neural Networks versus MCMC for Posterior Reconstruction in Grazing Incidence X-Ray Fluorescence. CoRR abs/2102.03189 (2021) - [i17]Clemens Kirisits, Michael Quellmalz, Monika Ritsch-Marte, Otmar Scherzer, Eric Setterqvist, Gabriele Steidl:
Fourier reconstruction for diffraction tomography of an object rotated into arbitrary orientations. CoRR abs/2104.07990 (2021) - [i16]Paul Hagemann, Johannes Hertrich, Gabriele Steidl:
Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint. CoRR abs/2109.11375 (2021) - [i15]Johannes Hertrich, Paul Hagemann, Gabriele Steidl:
A Unified Approach to Variational Autoencoders and Stochastic Normalizing Flows via Markov Chains. CoRR abs/2111.12506 (2021) - [i14]Florian Beier, Robert Beinert, Gabriele Steidl:
On a linear Gromov-Wasserstein distance. CoRR abs/2112.11964 (2021) - 2020
- [j72]Raymond H. Chan, Albert Cohen, Jalal Fadili, Alfred O. Hero III, Gabriele Steidl:
Guest Editorial: Special Issue in Memory of Mila Nikolova. J. Math. Imaging Vis. 62(6-7): 771-772 (2020) - [j71]Thomas Batard, Johannes Hertrich, Gabriele Steidl:
Variational Models for Color Image Correction Inspired by Visual Perception and Neuroscience. J. Math. Imaging Vis. 62(9): 1173-1194 (2020) - [c27]Diego Havenstein, Peter Lysakovski, Norman May, Guido Moerkotte, Gabriele Steidl:
Fast Entropy Maximization for Selectivity Estimation of Conjunctive Predicates on CPUs and GPUs. EDBT 2020: 546-554 - [i13]Gabriele Steidl, Maximilian Winkler:
A New Constrained Optimization Model for Solving the Nonsymmetric Stochastic Inverse Eigenvalue Problem. CoRR abs/2004.07330 (2020) - [i12]Johannes Hertrich, Gabriele Steidl:
Inertial Stochastic PALM and its Application for Learning Student-t Mixture Models. CoRR abs/2005.02204 (2020) - [i11]Robert Beinert, Gabriele Steidl:
Robust PCA via Regularized REAPER with a Matrix-Free Proximal Algorithm. CoRR abs/2005.05449 (2020) - [i10]Péter Koltai, Johannes von Lindheim, Sebastian Neumayer, Gabriele Steidl:
Transfer Operators from Optimal Transport Plans for Coherent Set Detection. CoRR abs/2006.16085 (2020) - [i9]Johannes Hertrich, Dang Phoung Lan Nguyen, Jean-François Aujol, Dominique Bernard, Yannick Berthoumieu, Abdellativ Sa'adaldin, Gabriele Steidl:
PCA Reduced Gaussian Mixture Models with Applications in Superresolution. CoRR abs/2009.07520 (2020) - [i8]Johannes Hertrich, Sebastian Neumayer, Gabriele Steidl:
Convolutional Proximal Neural Networks and Plug-and-Play Algorithms. CoRR abs/2011.02281 (2020)
2010 – 2019
- 2019
- [j70]Stephan Dahlke, Q. Jahan, Cornelia Schneider, Gabriele Steidl, Gerd Teschke:
Traces of shearlet coorbit spaces on domains. Appl. Math. Lett. 91: 35-40 (2019) - [j69]Jean-François Aujol, Jalal Fadili, Michael Hintermüller, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl:
Guest Editorial JMIV Special Issue Mathematics and Image Analysis (MIA). J. Math. Imaging Vis. 61(5): 643-644 (2019) - [j68]Friederike Laus, Gabriele Steidl:
Multivariate Myriad Filters Based on Parameter Estimation of Student-t Distributions. SIAM J. Imaging Sci. 12(4): 1864-1904 (2019) - [j67]Xiaohao Cai, Raymond H. Chan, Carola-Bibiane Schönlieb, Gabriele Steidl, Tieyong Zeng:
Linkage Between Piecewise Constant Mumford-Shah Model and Rudin-Osher-Fatemi Model and Its Virtue in Image Segmentation. SIAM J. Sci. Comput. 41(6): B1310-B1340 (2019) - [c26]Johannes Hertrich, Miroslav Bacák, Sebastian Neumayer, Gabriele Steidl:
Minimal Lipschitz Extensions for Vector-Valued Functions on Finite Graphs. SSVM 2019: 183-195 - [c25]Thomas Batard, Eduard Ramon Maldonado, Gabriele Steidl, Marcelo Bertalmío:
A Connection Between Image Processing and Artificial Neural Networks Layers Through a Geometric Model of Visual Perception. SSVM 2019: 459-471 - [i7]Marzieh Hasannasab, Johannes Hertrich, Friederike Laus, Gabriele Steidl:
Alternatives of the EM Algorithm for Estimating the Parameters of the Student-t Distribution. CoRR abs/1910.06623 (2019) - [i6]Marzieh Hasannasab, Johannes Hertrich, Sebastian Neumayer, Gerlind Plonka, Simon Setzer, Gabriele Steidl:
Parseval Proximal Neural Networks. CoRR abs/1912.10480 (2019) - 2018
- [j66]Friederike Laus, Fabien Pierre, Gabriele Steidl:
Nonlocal Myriad Filters for Cauchy Noise Removal. J. Math. Imaging Vis. 60(8): 1324-1354 (2018) - [j65]Ronny Bergmann, Jan Henrik Fitschen, Johannes Persch, Gabriele Steidl:
Priors with Coupled First and Second Order Differences for Manifold-Valued Image Processing. J. Math. Imaging Vis. 60(9): 1459-1481 (2018) - [j64]Sebastian Neumayer, Johannes Persch, Gabriele Steidl:
Morphing of Manifold-Valued Images Inspired by Discrete Geodesics in Image Spaces. SIAM J. Imaging Sci. 11(3): 1898-1930 (2018) - [i5]Xiaohao Cai, Raymond H. Chan, Carola-Bibiane Schönlieb, Gabriele Steidl, Tieyong Zeng:
Linkage between Piecewise Constant Mumford-Shah model and ROF model and its virtue in image segmentation. CoRR abs/1807.10194 (2018) - 2017
- [j63]Benjamin Bauer, Xiaohao Cai, Stephan Peth, Katja Schladitz, Gabriele Steidl:
Variational-based segmentation of bio-pores in tomographic images. Comput. Geosci. 98: 1-8 (2017) - [j62]Ronny Bergmann, Jan Henrik Fitschen, Johannes Persch, Gabriele Steidl:
Iterative Multiplicative Filters for Data Labeling. Int. J. Comput. Vis. 123(3): 435-453 (2017) - [j61]Miroslav Bacák, Martin J. Montag, Gabriele Steidl:
Convergence of functions and their Moreau envelopes on Hadamard spaces. J. Approx. Theory 224: 1-12 (2017) - [j60]Johannes Persch, Fabien Pierre, Gabriele Steidl:
Exemplar-Based Face Colorization Using Image Morphing. J. Imaging 3(4): 48 (2017) - [j59]Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Gabriele Steidl, Vinh-Thong Ta:
Variational Contrast Enhancement of Gray-Scale and RGB Images. J. Math. Imaging Vis. 57(1): 99-116 (2017) - [j58]Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl:
JMIV Special Issue Mathematics and Image Analysis. J. Math. Imaging Vis. 59(3): 371-372 (2017) - [j57]Jan Henrik Fitschen, Katharina Losch, Gabriele Steidl:
Unsupervised multi class segmentation of 3D images with intensity inhomogeneities. J. Vis. Commun. Image Represent. 46: 312-323 (2017) - [j56]Friederike Laus, Mila Nikolova, Johannes Persch, Gabriele Steidl:
A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics. SIAM J. Imaging Sci. 10(1): 416-448 (2017) - [c24]Ronny Bergmann, Jan Henrik Fitschen, Johannes Persch, Gabriele Steidl:
Infimal Convolution Coupling of First and Second Order Differences on Manifold-Valued Images. SSVM 2017: 447-459 - [c23]Sebastian Neumayer, Max Nimmer, Gabriele Steidl, Henrike Stephani:
On a Projected Weiszfeld Algorithm. SSVM 2017: 486-497 - [i4]Johannes Persch, Fabien Pierre, Gabriele Steidl:
Examplar-Based Face Colorization Using Image Morphing. CoRR abs/1707.00648 (2017) - 2016
- [j55]Jan Henrik Fitschen, Friederike Laus, Gabriele Steidl:
Transport Between RGB Images Motivated by Dynamic Optimal Transport. J. Math. Imaging Vis. 56(3): 409-429 (2016) - [j54]Ronny Bergmann, Johannes Persch, Gabriele Steidl:
A Parallel Douglas-Rachford Algorithm for Minimizing ROF-like Functionals on Images with Values in Symmetric Hadamard Manifolds. SIAM J. Imaging Sci. 9(3): 901-937 (2016) - [j53]Miroslav Bacák, Ronny Bergmann, Gabriele Steidl, Andreas Weinmann:
A Second Order Nonsmooth Variational Model for Restoring Manifold-Valued Images. SIAM J. Sci. Comput. 38(1) (2016) - [c22]Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Gabriele Steidl, Vinh-Thong Ta:
Hue-preserving perceptual contrast enhancement. ICIP 2016: 4067-4071 - [i3]Friederike Laus, Johannes Persch, Gabriele Steidl:
A Nonlocal Denoising Algorithm for Manifold-Valued Images Using Second Order Statistics. CoRR abs/1607.08481 (2016) - 2015
- [j52]Guido Moerkotte, Martin J. Montag, Audrey Repetti, Gabriele Steidl:
Proximal operator of quotient functions with application to a feasibility problem in query optimization. J. Comput. Appl. Math. 285: 243-255 (2015) - [j51]Jalal Fadili, Gitta Kutyniok, Gabriel Peyré, Gerlind Plonka-Hoch, Gabriele Steidl:
Guest Editorial: Mathematics and Image Analysis. J. Math. Imaging Vis. 52(3): 315-316 (2015) - [c21]Jérôme Fehrenbach, Mila Nikolova, Gabriele Steidl, Pierre Weiss:
Bilevel Image Denoising Using Gaussianity Tests. SSVM 2015: 117-128 - [c20]Frank Balle, Dietmar Eifler, Jan Henrik Fitschen, Sebastian Schuff, Gabriele Steidl:
Computation and Visualization of Local Deformation for Multiphase Metallic Materials by Infimal Convolution of TV-Type Functionals. SSVM 2015: 385-396 - [c19]Jan Henrik Fitschen, Mila Nikolova, Fabien Pierre, Gabriele Steidl:
A Variational Model for Color Assignment. SSVM 2015: 437-448 - [p2]Stephan Dahlke, Sören Häuser, Gabriele Steidl, Gerd Teschke:
Shearlet Coorbit Theory. Harmonic and Applied Analysis 2015: 83-147 - [r1]Gabriele Steidl:
Supervised Learning by Support Vector Machines. Handbook of Mathematical Methods in Imaging 2015: 1393-1453 - 2014
- [j50]Sören Häuser, B. Heise, Gabriele Steidl:
Linearized Riesz transform and quasi-monogenic shearlets. Int. J. Wavelets Multiresolution Inf. Process. 12(3) (2014) - [j49]F. Baus, Mila Nikolova, Gabriele Steidl:
Fully Smoothed ℓ 1-TV Models: Bounds for the Minimizers and Parameter Choice. J. Math. Imaging Vis. 48(2): 295-307 (2014) - [j48]Sung Ha Kang, Behrang Shafei, Gabriele Steidl:
Supervised and transductive multi-class segmentation using p-Laplacians and RKHS methods. J. Vis. Commun. Image Represent. 25(5): 1136-1148 (2014) - [j47]Ronny Bergmann, Friederike Laus, Gabriele Steidl, Andreas Weinmann:
Second Order Differences of Cyclic Data and Applications in Variational Denoising. SIAM J. Imaging Sci. 7(4): 2916-2953 (2014) - [j46]Mila Nikolova, Gabriele Steidl:
Fast Hue and Range Preserving Histogram Specification: Theory and New Algorithms for Color Image Enhancement. IEEE Trans. Image Process. 23(9): 4087-4100 (2014) - [j45]Mila Nikolova, Gabriele Steidl:
Fast Ordering Algorithm for Exact Histogram Specification. IEEE Trans. Image Process. 23(12): 5274-5283 (2014) - [c18]Zeinab Mortezapouraghdam, Lars Haab, Gabriele Steidl, Daniel J. Strauss:
Detection of change points in phase data: A Bayesian analysis of habituation processes. EMBC 2014: 1014-1017 - [i2]Martin Burger, Alex Sawatzky, Gabriele Steidl:
First order algorithms in variational image processing. CoRR abs/1412.4237 (2014) - 2013
- [j44]Simon Setzer, Gabriele Steidl, Jan Morgenthaler:
A cyclic projected gradient method. Comput. Optim. Appl. 54(2): 417-440 (2013) - [j43]Sören Häuser, Gabriele Steidl:
Convex multiclass segmentation with shearlet regularization. Int. J. Comput. Math. 90(1): 62-81 (2013) - [j42]Antonin Chambolle, Michael Hintermüller, Thomas Pock, Christoph Schnörr, Gabriele Steidl:
Guest Editorial: Variational Models, Convex Analysis and Numerical Optimization in Mathematical Imaging. J. Math. Imaging Vis. 47(3): 165-166 (2013) - [j41]René Ciak, Behrang Shafei, Gabriele Steidl:
Homogeneous Penalizers and Constraints in Convex Image Restoration. J. Math. Imaging Vis. 47(3): 210-230 (2013) - [c17]Xiaohao Cai, Gabriele Steidl:
Multiclass Segmentation by Iterated ROF Thresholding. EMMCVPR 2013: 237-250 - [c16]Stanislav Harizanov, Jean-Christophe Pesquet, Gabriele Steidl:
Epigraphical Projection for Solving Least Squares Anscombe Transformed Constrained Optimization Problems. SSVM 2013: 125-136 - 2012
- [j40]Simon Setzer, Gabriele Steidl, Tanja Teuber:
On vector and matrix median computation. J. Comput. Appl. Math. 236(8): 2200-2222 (2012) - [j39]Behrang Shafei, Gabriele Steidl:
Segmentation of images with separating layers by fuzzy c-means and convex optimization. J. Vis. Commun. Image Represent. 23(4): 611-621 (2012) - [j38]Yanyan He, M. Yousuff Hussaini, Jianwei Ma, Behrang Shafei, Gabriele Steidl:
A new fuzzy c-means method with total variation regularization for segmentation of images with noisy and incomplete data. Pattern Recognit. 45(9): 3463-3471 (2012) - [j37]Manuel Gräf, Daniel Potts, Gabriele Steidl:
Quadrature Errors, Discrepancies, and Their Relations to Halftoning on the Torus and the Sphere. SIAM J. Sci. Comput. 34(5) (2012) - [j36]Tanja Teuber, Steffen Remmele, Jürgen Hesser, Gabriele Steidl:
Denoising by second order statistics. Signal Process. 92(12): 2837-2847 (2012) - [c15]J. Kristof Schubert, Tanja Teuber, Gabriele Steidl, Daniel J. Strauss, Farah I. Corona-Strauss:
Nonlocal two dimensional denoising of frequency specific chirp evoked ABR single trials. EMBC 2012: 2527-2530 - 2011
- [j35]Tanja Teuber, Gabriele Steidl, Pascal Gwosdek, Christian Schmaltz, Joachim Weickert:
Dithering by Differences of Convex Functions. SIAM J. Imaging Sci. 4(1): 79-108 (2011) - [c14]Manuel Gräf, Daniel Potts, Gabriele Steidl:
Quadrature Nodes Meet Stippling Dots. SSVM 2011: 568-579 - 2010
- [j34]Simon Setzer, Gabriele Steidl, Tanja Teuber, Guido Moerkotte:
Approximation related to quotient functionals. J. Approx. Theory 162(3): 545-558 (2010) - [j33]Gabriele Steidl, Tanja Teuber:
Removing Multiplicative Noise by Douglas-Rachford Splitting Methods. J. Math. Imaging Vis. 36(2): 168-184 (2010) - [j32]Simon Setzer, Gabriele Steidl, Tanja Teuber:
Deblurring Poissonian images by split Bregman techniques. J. Vis. Commun. Image Represent. 21(3): 193-199 (2010)
2000 – 2009
- 2009
- [j31]Stephan Didas, Simon Setzer, Gabriele Steidl:
Combined l2 data and gradient fitting in conjunction with l1 regularization. Adv. Comput. Math. 30(1): 79-99 (2009) - [j30]Jing Yuan, Christoph Schnörr, Gabriele Steidl:
Convex Hodge Decomposition and Regularization of Image Flows. J. Math. Imaging Vis. 33(2): 169-177 (2009) - [j29]Guido Moerkotte, Thomas Neumann, Gabriele Steidl:
Preventing Bad Plans by Bounding the Impact of Cardinality Estimation Errors. Proc. VLDB Endow. 2(1): 982-993 (2009) - [j28]Gabriele Steidl, Tanja Teuber:
Diffusion Tensors for Processing Sheared and Rotated Rectangles. IEEE Trans. Image Process. 18(12): 2640-2648 (2009) - [c13]Gabriele Steidl, Tanja Teuber:
Anisotropic Smoothing Using Double Orientations. SSVM 2009: 477-489 - [c12]Jing Yuan, Christoph Schnörr, Gabriele Steidl:
Total-Variation Based Piecewise Affine Regularization. SSVM 2009: 552-564 - 2008
- [j27]Simon Setzer, Gabriele Steidl, Tanja Teuber:
Restoration of images with rotated shapes. Numer. Algorithms 48(1-3): 49-66 (2008) - [j26]Raymond H. Chan, Simon Setzer, Gabriele Steidl:
Inpainting by Flexible Haar-Wavelet Shrinkage. SIAM J. Imaging Sci. 1(3): 273-293 (2008) - [c11]Jing Yuan, Gabriele Steidl, Christoph Schnörr:
Convex Hodge Decomposition of Image Flows. DAGM-Symposium 2008: 416-425 - [i1]Stephan Dahlke, Gabriele Steidl, Gerd Teschke:
The Continuous Shearlet Transform in Arbitrary Space Dimensions. Structured Decompositions and Efficient Algorithms 2008 - 2007
- [j25]Gabriele Steidl, Simon Setzer, B. Popilka, Bernhard Burgeth:
Restoration of matrix fields by second-order cone programming. Computing 81(2-3): 161-178 (2007) - [j24]Jing Yuan, Christoph Schnörr, Gabriele Steidl:
Simultaneous Higher-Order Optical Flow Estimation and Decomposition. SIAM J. Sci. Comput. 29(6): 2283-2304 (2007) - 2006
- [j23]Gabriele Steidl:
A Note on the Dual Treatment of Higher-Order Regularization Functionals. Computing 76(1-2): 135-148 (2006) - [j22]Gabriele Steidl, Stephan Didas, Julia Neumann:
Splines in Higher Order TV Regularization. Int. J. Comput. Vis. 70(3): 241-255 (2006) - [j21]Gerlind Plonka, Gabriele Steidl:
A Multiscale Wavelet-Inspired Scheme for Nonlinear Diffusion. Int. J. Wavelets Multiresolution Inf. Process. 4(1): 1-21 (2006) - [j20]Stefan Kunis, Daniel Potts, Gabriele Steidl:
Fast Gauss transforms with complex parameters using NFFTs. J. Num. Math. 14(4): 295-303 (2006) - [c10]Martin Welk, Joachim Weickert, Gabriele Steidl:
From Tensor-Driven Diffusion to Anisotropic Wavelet Shrinkage. ECCV (1) 2006: 391-403 - [p1]Joachim Weickert, Gabriele Steidl, Pavel Mrázek, Martin Welk, Thomas Brox:
Diffusion Filters and Wavelets: What Can They Learn from Each Other? Handbook of Mathematical Models in Computer Vision 2006: 1-16 - 2005
- [j19]Pavel Mrázek, Joachim Weickert, Gabriele Steidl:
Diffusion-Inspired Shrinkage Functions and Stability Results for Wavelet Denoising. Int. J. Comput. Vis. 64(2-3): 171-186 (2005) - [j18]Julia Neumann, Gabriele Steidl:
Dual-Tree Complex Wavelet Transform in the Frequency Domain and an Application to Signal Classification. Int. J. Wavelets Multiresolution Inf. Process. 3(1): 43-65 (2005) - [j17]Julia Neumann, Christoph Schnörr, Gabriele Steidl:
Combined SVM-Based Feature Selection and Classification. Mach. Learn. 61(1-3): 129-150 (2005) - [j16]Julia Neumann, Christoph Schnörr, Gabriele Steidl:
Efficient wavelet adaptation for hybrid wavelet-large margin classifiers. Pattern Recognit. 38(11): 1815-1830 (2005) - [c9]Aleh Kryvanos, Jürgen Hesser, Gabriele Steidl:
Nonlinear image restoration methods for marker extraction in 3D fluorescent microscopy. Computational Imaging 2005: 432-443 - [c8]Gabriele Steidl, Stephan Didas, Julia Neumann:
Relations Between Higher Order TV Regularization and Support Vector Regression. Scale-Space 2005: 515-527 - [c7]Martin Welk, Joachim Weickert, Gabriele Steidl:
A Four-Pixel Scheme for Singular Differential Equations. Scale-Space 2005: 610-621 - [c6]Jing Yuan, Christoph Schnörr, Gabriele Steidl, Florian Becker:
A Study of Non-smooth Convex Flow Decomposition. VLSM 2005: 1-12 - 2004
- [j15]Stephan Dahlke, Gabriele Steidl, Gerd Teschke:
Coorbit Spaces and Banach Frames on Homogeneous Spaces with Applications to the Sphere. Adv. Comput. Math. 21(1-2): 147-180 (2004) - [j14]Daniel Potts, Gabriele Steidl, Arthur Nieslony:
Fast convolution with radial kernels at nonequispaced knots. Numerische Mathematik 98(2): 329-351 (2004) - [j13]Gabriele Steidl, Joachim Weickert, Thomas Brox, Pavel Mrázek, Martin Welk:
On the Equivalence of Soft Wavelet Shrinkage, Total Variation Diffusion, Total Variation Regularization, and SIDEs. SIAM J. Numer. Anal. 42(2): 686-713 (2004) - [c5]Julia Neumann, Christoph Schnörr, Gabriele Steidl:
SVM-Based Feature Selection by Direct Objective Minimisation. DAGM-Symposium 2004: 212-219 - 2003
- [j12]Daniel Potts, Gabriele Steidl:
Fast Summation at Nonequispaced Knots by NFFT. SIAM J. Sci. Comput. 24(6): 2013-2037 (2003) - [j11]Daniel J. Strauss, Gabriele Steidl, Wolfgang Delb:
Feature extraction by shape-adapted local discriminant bases. Signal Process. 83(2): 359-376 (2003) - [c4]Julia Neumann, Christoph Schnörr, Gabriele Steidl:
Feasible Adaptation Criteria for Hybrid Wavelet - Large Margin Classifiers. CAIP 2003: 588-595 - [c3]Thomas Brox, Martin Welk, Gabriele Steidl, Joachim Weickert:
Equivalence Results for TV Diffusion and TV Regularisation. Scale-Space 2003: 86-100 - [c2]