Markus Grasmair

发表

Scale and Edge Detection with Topological Derivatives

Otmar Scherzer, Guozhi Dong, Markus Grasmair, 2013, SSVM.

Subgradient-based Lavrentiev regularisation of monotone ill-posed problems pdf

Markus Grasmair, Fredrik Hildrum, M. Grasmair, 2020, ArXiv.

The residual method for regularizing ill-posed problems

Otmar Scherzer, Markus Haltmeier, Markus Grasmair, 2009, Appl. Math. Comput..

Topological Derivatives and Image Segmentation

Markus Grasmair, 2013 .

Spatial segmentation of imaging mass spectrometry data with edge-preserving image denoising and clustering.

Theodore Alexandrov, Herbert Thiele, Peter Maass, 2010, Journal of proteome research.

Adaptive multi-penalty regularization based on a generalized Lasso path pdf

Timo Klock, Markus Grasmair, Valeriya Naumova, 2017, Applied and Computational Harmonic Analysis.

Locally Adaptive Total Variation Regularization

Markus Grasmair, M. Grasmair, 2009, SSVM.

Landmark-Guided Elastic Shape Analysis of Human Character Motions pdf

Martin Bauer, Markus Eslitzbichler, Markus Grasmair, 2015, ArXiv.

Variational Methods in Imaging

Otmar Scherzer, Markus Haltmeier, Harald Grossauer, 2008, Applied mathematical sciences.

Shape Reconstruction with A Priori Knowledge Based on Integral Invariants

Otmar Scherzer, Markus Grasmair, Thomas Fidler, 2012, SIAM J. Imaging Sci..

A Non-convex PDE Scale Space

Otmar Scherzer, Matthias Fuchs, Frank Lenzen, 2005, Scale-Space.

Optical Flow on Moving Manifolds

Clemens Kirisits, Martin Bauer, Markus Grasmair, 2015, SIAM J. Imaging Sci..

Source Conditions for Non-Quadratic Tikhonov Regularization

Markus Grasmair, M. Grasmair, 2020, Numerical Functional Analysis and Optimization.

The Equivalence of the Taut String Algorithm and BV-Regularization

Markus Grasmair, M. Grasmair, 2006, Journal of Mathematical Imaging and Vision.

Data-Driven Personalized Cervical Cancer Risk Prediction: A Graph-Perspective

Vinay Chakravarthi Gogineni, Mari Nygård, Markus Grasmair, 2021, 2021 IEEE Statistical Signal Processing Workshop (SSP).

A PDE-based Method for Shape Registration pdf

Markus Grasmair, Esten Nicolai Woien, M. Grasmair, 2021, SIAM J. Imaging Sci..

Sparsity in Inverse Geophysical Problems

Otmar Scherzer, Markus Haltmeier, Markus Grasmair, 2012 .

Linear convergence rates for Tikhonov regularization with positively homogeneous functionals

Markus Grasmair, M. Grasmair, 2011 .

Convergence Rates for Tikhonov Regularisation on Banach Spaces

Markus Grasmair, M. Grasmair, 2011 .

Identifiability and reconstruction of shapes from integral invariants

Otmar Scherzer, Markus Grasmair, Thomas Fidler, 2008 .

Multi-parameter Tikhonov Regularisation in Topological Spaces

Markus Grasmair, M. Grasmair, 2011, 1109.0364.

Local Uniqueness of the Circular Integral Invariant

Martin Bauer, Markus Grasmair, Thomas Fidler, 2011 .

Well-posedness and Convergence Rates for Sparse Regularization with Sublinear l q Penalty Term

Markus Grasmair, M. Grasmair, 2009 .

Well-posedness classes for sparse regularization

Markus Grasmair, M. Grasmair, 2011 .

Variational Regularization Methods for the Solution of Inverse Problems

Otmar Scherzer, Markus Haltmeier, Harald Grossauer, 2009 .

An Approach to the Minimization of the Mumford-Shah Functional using \Gamma-convergence and Topological Asymptotic Expansion

Otmar Scherzer, Markus Grasmair, Monika Muszkieta, 2011, 1103.4722.

Non-convex sparse regularisation

Markus Grasmair, M. Grasmair, 2010 .