Markus Haltmeier
Computational Mechanics · 2004–2018
A researcher in the Science corpus: 10 papers; trusts 21 researchers and is trusted by 10 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 40 citations into it; #6,458 of 10,001 by trust here, #5,567 by citations
- Mathematical Physics — 26 citations into it; #3,765 of 8,562 by trust here, #831 by citations
- Biomedical Engineering — 23 citations into it; #4,582 of 10,734 by trust here, #4,052 by citations
- Computer Vision and Pattern Recognition — 22 citations into it; #14,464 of 21,575 by trust here, #18,266 by citations
- Radiology, Nuclear Medicine and Imaging — 20 citations into it; #3,168 of 3,265 by trust here, #1,664 by citations
- Computational Theory and Mathematics — 13 citations into it
- Mechanics of Materials — 8 citations into it; #5,806 of 6,291 by trust here, #3,668 by citations
- Applied Mathematics — 5 citations into it
Whom Markus Haltmeier trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Minghua Xu
- Lihong V. Wang
- Otmar Scherzer
- David L. Donoho
- David V. Finch
- E.J. Candes
- Joel A. Tropp
- Dirk A. Lorenz
- Yuan Xu
- Sarah K. Patch
Who trusts Markus Haltmeier overall
- Peter Kuchment
- Leonid A. Kunyansky
- Peter Burgholzer
- Markus Grasmair
- Otmar Scherzer
- Bangti Jin
- Lihong V. Wang
- Peter Maass
- Johannes Bauer-Marschallinger
- G. Paltauf
Papers from Markus Haltmeier's perspective
Ordered by how strongly the researchers Markus Haltmeier trusts endorse each paper. Same corpus, a different order for every researcher.
- Decoding by linear programming
- Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information
- Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems (IEEE Journal on Selected Topics in Signal Processing)
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- Optimally sparse representation in general (nonorthogonal) dictionaries via ℓ1 minimization
- Stable recovery of sparse overcomplete representations in the presence of noise
- Signal Recovery by Proximal Forward-Backward Splitting
- Compressed sensing (IEEE Transactions on Information Theory)
- Image quality assessment: from error visibility to structural similarity
- Time-domain reconstruction for thermoacoustic tomography in a spherical geometry (IEEE Transactions on Medical Imaging)
Their papers
- Variational Methods in Imaging (2008) — 602 citations
- NETT: solving inverse problems with deep neural networks (2018) — 287 citations
- Thermoacoustic computed tomography with large planar receivers (2004) — 138 citations
- Inversion of Spherical Means and the Wave Equation in Even Dimensions (2007) — 295 citations
- Necessary and sufficient conditions for linear convergence of ℓ1‐regularization (2011) — 125 citations
- Weakly Differentiable Functions (2009) — 703 citations
- Sparse regularization with lq penalty term (2008) — 137 citations
- Temporal back-projection algorithms for photoacoustic tomography with integrating line detectors (2007) — 160 citations
- KACZMARZ METHODS FOR REGULARIZING NONLINEAR ILL-POSED EQUATIONS I: CONVERGENCE ANALYSIS (2007) — 106 citations
- Experimental evaluation of reconstruction algorithms for limited view photoacoustic tomography with line detectors (2007) — 148 citations