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  A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problem

Kappes, J. H., Andres, B., Hamprecht, F. A., Schnörr, C., Nowozin, S., Batra, D., et al. (2013). A Comparative Study of Modern Inference Techniques for Discrete Energy Minimization Problem. In 2013 IEEE Conference on Computer Vision and Pattern Recognition (pp. 1328-1335). Los Alamitos, CA: IEEE Computer Society. doi:10.1109/CVPR.2013.175.

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 Creators:
Kappes, Jörg H.1, Author
Andres, Bjoern2, Author           
Hamprecht, Fred A.1, Author
Schnörr, Christoph1, Author
Nowozin, Sebastian1, Author
Batra, Dhruv1, Author
Kim, Sungwoong1, Author
Kausler, Bernhard X.1, Author
Lellmann, Jan1, Author
Komodakis, Nikos1, Author
Rother, Carsten1, 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: 20132013
 Publication Status: Issued
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: -
 Identifiers: BibTex Citekey: kappes-2013
DOI: 10.1109/CVPR.2013.175
 Degree: -

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Title: IEEE Conference on Computer Vision and Pattern Recognition
Place of Event: Portland, OR, USA
Start-/End Date: 2013-06-23 - 2013-06-28

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Title: 2013 IEEE Conference on Computer Vision and Pattern Recognition
  Abbreviation : CVPR 2013
Source Genre: Proceedings
 Creator(s):
Affiliations:
Publ. Info: Los Alamitos, CA : IEEE Computer Society
Pages: - Volume / Issue: - Sequence Number: - Start / End Page: 1328 - 1335 Identifier: -