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  A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness

Kausler, B. X., Martin, S., Andres, B., Lindner, M., Köthe, U., Leitte, H., et al. (2012). A Discrete Chain Graph Model for 3d+t Cell Tracking with High Misdetection Robustness. In A. Fitzgibbon, S. Lazebnik, P. Perona, Y. Sato, & C. Schmidt (Eds.), Computer Vision - ECCV 2012 (pp. 144-157). Berlin: Springer. doi:10.1007/978-3-642-33712-3_11.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0018-39BE-4 Version Permalink: https://hdl.handle.net/11858/00-001M-0000-001A-2AEE-A
Genre: Conference Paper

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 Creators:
Kausler, Bernhard X.1, Author
Martin, Schiegg1, Author
Andres, Björn2, Author           
Lindner, Martin1, Author
Köthe, Ulrich1, Author
Leitte, Heike1, Author
Wittbrodt, Heike1, Author
Hufnagel, Lars1, Author
Hamprecht, Fred A.1, Author
Affiliations:
1External Organizations, ou_persistent22              
2Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society, ou_1116547              

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Language(s): eng - English
 Dates: 20122012
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: kausler2012
DOI: 10.1007/978-3-642-33712-3_11
 Degree: -

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Title: European Conference on Computer Vision
Place of Event: Florence, Italy
Start-/End Date: 2012-10-07 - 2012-10-13

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Title: Computer Vision - ECCV 2012
  Subtitle : 12th European Conference on Computer Vision
  Abbreviation : ECCV 2012
Source Genre: Proceedings
 Creator(s):
Fitzgibbon, Andrew1, Editor
Lazebnik, Svetlana1, Editor
Perona, Pietro1, Editor
Sato, Yoichi1, Editor
Schmidt, Cordelia1, Editor
Affiliations:
1 External Organizations, ou_persistent22            
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 144 - 157 Identifier: ISBN: 978-3-642-33711-6

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Title: Lecture Notes in Computer Science
  Abbreviation : LNCS
Source Genre: Series
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Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 7574 Sequence Number: - Start / End Page: - Identifier: -