Zobrazeno 1 - 10
of 81
pro vyhledávání: '"Stefan Kindermann"'
Publikováno v:
Frontiers in Sports and Active Living, Vol 2 (2020)
The float serve is an effective weapon to impede the attack of the opposing team. Because of its great importance in indoor and beach volleyball, we measured and quantified the float effect. We recorded 24 float serves of 12 top athletes in beach vol
Externí odkaz:
https://doaj.org/article/11e1c033c493494aa3678ed6a5740407
Autor:
Stefan Kindermann, Štěpán Papáček
Publikováno v:
Abstract and Applied Analysis, Vol 2015 (2015)
Fluorescence recovery after photobleaching (FRAP) is a widely used measurement technique to determine the mobility of fluorescent molecules within living cells. While the experimental setup and protocol for FRAP experiments are usually fixed, data (p
Externí odkaz:
https://doaj.org/article/083e5f83237d47e28659a6261318caee
Autor:
Britta Lorey, Morten Kaletsch, Sebastian Pilgramm, Matthias Bischoff, Stefan Kindermann, Isabell Sauerbier, Rudolf Stark, Karen Zentgraf, Jörn Munzert
Publikováno v:
PLoS ONE, Vol 7, Iss 8, p e42169 (2012)
One central issue in social cognitive neuroscience is that perceiving emotions in others relates to activating the same emotion in oneself. In this study we sought to examine how the ability to perceive own emotions assessed with the Toronto Alexithy
Externí odkaz:
https://doaj.org/article/00a2b1579f014aa8978daca0e58dcbfb
Autor:
Britta Lorey, Sebastian Pilgramm, Matthias Bischoff, Rudolf Stark, Dieter Vaitl, Stefan Kindermann, Jörn Munzert, Karen Zentgraf
Publikováno v:
PLoS ONE, Vol 6, Iss 5, p e20368 (2011)
The present study examined the neural basis of vivid motor imagery with parametrical functional magnetic resonance imaging. 22 participants performed motor imagery (MI) of six different right-hand movements that differed in terms of pointing accuracy
Externí odkaz:
https://doaj.org/article/6c5c9d2d423e4ee79f7cd760f9cb3bae
This book is thesecond volume of a three volume series recording the'Radon Special Semester 2011 on Multiscale Simulation & Analysis in Energy and the Environment'that took placein Linz, Austria, October 3-7, 2011. This volume addresses the common gr
Publikováno v:
ETNA - Electronic Transactions on Numerical Analysis. 57:216-241
The choice of a suitable regularization parameter is an important part of most regularization methods for inverse problems. In the absence of reliable estimates of the noise level, heuristic parameter choice rules can be used to accomplish this task.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8294fc16ef99e59851b852230057a921
https://doi.org/10.1553/etna_vol57s216
https://doi.org/10.1553/etna_vol57s216
Autor:
Stefan Kindermann, Kemal Raik
Publikováno v:
SIAM Journal on Numerical Analysis. 58:1773-1800
We investigate the convergence theory of several known as well as new heuristic parameter choice rules for convex Tikhonov regularisation. The success of such methods is dependent on whether certain restrictions on the noise are satisfied. In the lin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6e3b3294e42578946976ff51f2507ef
https://doi.org/10.1137/19m1263066
https://doi.org/10.1137/19m1263066
Publikováno v:
Journal of Inverse and Ill-posed Problems. 27:117-131
We study the choice of the regularisation parameter for linear ill-posed problems in the presence of data noise and operator perturbations, for which a bound on the operator error is known but the data noise-level is unknown. We introduce a new famil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0beb86debec785821cae27dbceec10a
https://doi.org/10.1515/jiip-2018-0062
https://doi.org/10.1515/jiip-2018-0062
Autor:
Antonio Leitão, Stefan Kindermann
In this paper we consider new regularization methods for linear inverse problems of dynamic type. These methods are based on dynamic programming techniques for linear quadratic optimal control problems. Two different approaches are followed: a contin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b0fb62ba1e7dd380e9ccc2814c53b2c7
http://arxiv.org/abs/2101.09327
http://arxiv.org/abs/2101.09327
Autor:
Stefan Kindermann
We show that Nesterov acceleration is an optimal-order iterative regularization method for linear ill-posed problems provided that a parameter is chosen accordingly to the smoothness of the solution. This result is proven both for an a priori stoppin
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c90f7c2757ec143e009e3fbab05e2a42