Zobrazeno 1 - 10
of 259
pro vyhledávání: '"Christoph Schnörr"'
Autor:
Maurus Hans, Elinor Kath, Marius Sparn, Nikolas Liebster, Helmut Strobel, Markus K. Oberthaler, Felix Draxler, Christoph Schnörr
Publikováno v:
Physical Review Research, Vol 6, Iss 1, p 013122 (2024)
Physical systems can be used as an information processing substrate and, with that, extend traditional computing architectures. For such an application, the experimental platform must guarantee pristine control of the initial state, the temporal evol
Externí odkaz:
https://doaj.org/article/0a688fc853a1498ea072cd4d873df0f9
Autor:
Jonathan Schwarz, Jonas Cassel, Bastian Boll, Martin Gärttner, Peter Albers, Christoph Schnörr
Publikováno v:
Entropy, Vol 25, Iss 9, p 1253 (2023)
This paper introduces assignment flows for density matrices as state spaces for representation and analysis of data associated with vertices of an underlying weighted graph. Determining an assignment flow by geometric integration of the defining dyna
Externí odkaz:
https://doaj.org/article/801669b5c8524dec9236fe26e3762cf4
Publikováno v:
Image Analysis and Stereology, Vol 34, Iss 3, Pp 161-170 (2015)
Shape from texture refers to the extraction of 3D information from 2D images with irregular texture. This paper introduces a statistical framework to learn shape from texture where convex texture elements in a 2D image are represented through a point
Externí odkaz:
https://doaj.org/article/ed36520e97f5429ba4b542acd7c4fb08
Autor:
Maïtine Bergounioux, Gabriel Peyré, Christoph Schnörr, Jean-Baptiste Caillau, Thomas Haberkorn
With a focus on the interplay between mathematics and applications of imaging, the first part covers topics from optimization, inverse problems and shape spaces to computer vision and computational anatomy. The second part is geared towards geometric
Publikováno v:
PAMM. 23
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031319747
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4f35f839723307d6ad2ea3faf309945e
https://doi.org/10.1007/978-3-031-31975-4_32
https://doi.org/10.1007/978-3-031-31975-4_32
Autor:
Bastian Boll, Jonathan Schwarz, Daniel Gonzalez-Alvarado, Dmitrij Sitenko, Stefania Petra, Christoph Schnörr
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031319747
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::831ebdf7757adf3c25bbb2355aaaa2fe
https://doi.org/10.1007/978-3-031-31975-4_56
https://doi.org/10.1007/978-3-031-31975-4_56
Autor:
Fabrizio Savarino, Christoph Schnörr
Publikováno v:
European Journal of Applied Mathematics. 32:570-597
Assignment flows denote a class of dynamical models for contextual data labelling (classification) on graphs. We derive a novel parametrisation of assignment flows that reveals how the underlying information geometry induces two processes for assignm
Publikováno v:
Pattern Recognition and Artificial Intelligence ISBN: 9783031090363
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbaba00d70c9cd8b0e745c993ab32620
https://doi.org/10.1007/978-3-031-09037-0_31
https://doi.org/10.1007/978-3-031-09037-0_31
Autor:
Christoph Schnörr, Fabian Rathke
Publikováno v:
Computational Statistics & Data Analysis. 140:41-58
A novel computational approach to log-concave density estimation is proposed. Previous approaches utilize the piecewise-affine parametrization of the density induced by the given sample set. The number of parameters as well as non-smooth subgradient-