Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Robert Beinert"'
Publikováno v:
Communications in Statistics - Simulation and Computation. :1-16
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f9ef16fb93baf8848efb1e8edc7a66a
https://doi.org/10.1080/03610918.2022.2092139
https://doi.org/10.1080/03610918.2022.2092139
Autor:
Florian Beier, Robert Beinert
Recently, two concepts from optimal transport theory have successfully been brought to the Gromov–Wasserstein (GW) setting. This introduces a linear version of the GW distance and multi‐marginal GW transport. The former can reduce the computation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::93a3d25106b4ca1acd197d5533b666e9
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031319747
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::710adf231d87cb32aafedd46177c410f
https://doi.org/10.1007/978-3-031-31975-4_33
https://doi.org/10.1007/978-3-031-31975-4_33
Autor:
Robert Beinert, Saghar Rezaei
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031319747
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1212101a40b938965c4271e34c93c81
https://doi.org/10.1007/978-3-031-31975-4_5
https://doi.org/10.1007/978-3-031-31975-4_5
Autor:
Robert Beinert, Michael Quellmalz
In optical diffraction tomography (ODT), the three-dimensional scattering potential of a microscopic object rotating around its center is recovered by a series of illuminations with coherent light. Reconstruction algorithms such as the filtered backp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::687fb688a275c951b0e8e61589baa0b9
http://arxiv.org/abs/2201.11579
http://arxiv.org/abs/2201.11579
Gromov-Wasserstein distances are generalization of Wasserstein distances, which are invariant under distance preserving transformations. Although a simplified version of optimal transport in Wasserstein spaces, called linear optimal transport (LOT),
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::384f704dc4fab49e2a020b98a7a60745
http://arxiv.org/abs/2112.11964
http://arxiv.org/abs/2112.11964
In this work we consider the problem of identification and reconstruction of doubly-dispersive channel operators which are given by finite linear combinations of time-frequency shifts. Such operators arise as time-varying linear systems for example i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b3bc3272fdc218fd88dc2ad435961465
http://arxiv.org/abs/2101.11544
http://arxiv.org/abs/2101.11544
Autor:
Marzieh Hasannasab, Robert Beinert
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030755485
SSVM
SSVM
In this paper we consider the nonlinear inverse problem of phase retrivial in the context of dynamical sampling. Where phase retrieval deals with the recovery of signals & images from phaseless measurements, dynamical sampling was introduced by Aldro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0676273487e1b37e15516b0e96f4428d
https://doi.org/10.1007/978-3-030-75549-2_41
https://doi.org/10.1007/978-3-030-75549-2_41
Autor:
Gerlind Plonka, Robert Beinert
Publikováno v:
Topics in Applied Physics ISBN: 9783030344122
The phase retrieval problem has a long and rich history with applications in physics and engineering such as crystallography, astronomy, and laser optics. Usually, the phase retrieval consists in recovering a real-valued or complex-valued signal from
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b66d056171aee28e04cfa8dce286e09c
https://doi.org/10.1007/978-3-030-34413-9_24
https://doi.org/10.1007/978-3-030-34413-9_24
Autor:
Robert Beinert, Gabriele Steidl
Publikováno v:
Journal of Mathematical Imaging and Vision
Principal component analysis (PCA) is known to be sensitive to outliers, so that various robust PCA variants were proposed in the literature. A recent model, called reaper, aims to find the principal components by solving a convex optimization proble
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9f306f220927c50d4c4193cc1df1610c