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Chair of Computer Vision & Artificial Intelligence

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85748 Garching info@vision.in.tum.de

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Kernel density estimation and intrinsic alignment for knowledge-driven segmentation: Teaching level sets to walk (bibtex)
Kernel density estimation and intrinsic alignment for knowledge-driven segmentation: Teaching level sets to walk (bibtex)
by D. Cremers, S. J. Osher and S. Soatto
Reference:
Kernel density estimation and intrinsic alignment for knowledge-driven segmentation: Teaching level sets to walk (D. Cremers, S. J. Osher and S. Soatto), In Pattern Recognition (Proc. DAGM) (C. E. Rasmussen, ed.), Springer, volume 3175, 2004. 
Bibtex Entry:
@string{dagm="Pattern Recognition (Proc. DAGM)"}
@string{lncs="LNCS"}
@inproceedings{Cremers-et-al-04b,
 author = {D. Cremers and S. J. Osher and S. Soatto},
 title = {Kernel density estimation and intrinsic alignment for knowledge-driven
    segmentation: {T}eaching level sets to walk},
 booktitle = {Pattern Recognition (Proc. DAGM)},
 year = {2004},
 editor = {C. E. Rasmussen},
 volume = {3175},
 series = {LNCS},
 pages = {36--44},
 publisher = {Springer},
 titleurl = {cremers_dagm04.pdf},
 keywords = {shape-priors},
 topic = {Level Sets, Shape Priors, Statistics, Segmentation},
}
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Informatik IX
Chair of Computer Vision & Artificial Intelligence

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

Follow us on:
CVG Group DVL Group