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A Convex Relaxation Approach for Computing Minimal Partitions (bibtex)
A Convex Relaxation Approach for Computing Minimal Partitions (bibtex)
by T. Pock, A. Chambolle, H. Bischof and D. Cremers
Reference:
A Convex Relaxation Approach for Computing Minimal Partitions (T. Pock, A. Chambolle, H. Bischof and D. Cremers), In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2009. 
Bibtex Entry:
@string{cvpr="IEEE Conference on Computer Vision and Pattern Recognition (CVPR)"}
@inproceedings{Pock-et-al-09,
 author = {T. Pock and A. Chambolle and H. Bischof and D. Cremers},
 title = {A Convex Relaxation Approach for Computing Minimal Partitions},
 booktitle = {IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
 year = {2009},
 address = {Miami, Florida},
 titleurl = {pock_et_al_cvpr09.pdf},
 topic = {Convex Relaxation Methods},
 keywords = {convex-relaxation, medical imaging},
}
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Informatik IX
Chair of Computer Vision & Artificial Intelligence

Boltzmannstrasse 3
85748 Garching info@vision.in.tum.de

Follow us on:
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