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pro vyhledávání: '"Schoenemann, Thomas"'
This paper addresses the problem of approximate MAP-MRF inference in general graphical models. Following [36], we consider a family of linear programming relaxations of the problem where each relaxation is specified by a set of nested pairs of factor
Externí odkaz:
http://arxiv.org/abs/1205.6352
We present the first method to handle curvature regularity in region-based image segmentation and inpainting that is independent of initialization. To this end we start from a new formulation of length-based optimization schemes, based on surface con
Externí odkaz:
http://arxiv.org/abs/1102.3830
On a linear programming approach to the discrete Willmore boundary value problem and generalizations
We consider the problem of finding (possibly non connected) discrete surfaces spanning a finite set of discrete boundary curves in the three-dimensional space and minimizing (globally) a discrete energy involving mean curvature. Although we consider
Externí odkaz:
http://arxiv.org/abs/1101.0777
Akademický článek
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Publikováno v:
In Computer Vision and Image Understanding 2011 115(12):1721-1732
Publikováno v:
Engineering Reports; Sep2021, Vol. 3 Issue 9, p1-18, 18p
Primates are some of the most playful animals in the natural world, yet the reason for this remains unclear. One hypothesis posits that primates are so playful because playful activity functions to help develop the sophisticated cognitive and behavio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::2fcd980d83e13a5d357bca347c8cfd1c
https://arro.anglia.ac.uk/id/eprint/701831/11/Kerney_et_al_2017.pdf
https://arro.anglia.ac.uk/id/eprint/701831/11/Kerney_et_al_2017.pdf
Autor:
Schoenemann, Thomas1 thomas_schoenemann@yahoo.de, Kahl, Fredrik1, Masnou, Simon2, Cremers, Daniel3
Publikováno v:
International Journal of Computer Vision. Aug2012, Vol. 99 Issue 1, p53-68. 16p.
Autor:
Schoenemann, Thomas J.1, Stevens, Victor J.2, Hollis, Jack F.2, Cheek, Paul R.2, Fischer, Karla1
Publikováno v:
Basic & Applied Social Psychology. Sep88, Vol. 9 Issue 3, p173-184. 12p. 3 Charts.