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  Semi-supervised Learning on a Budget: Scaling Up to Large Datasets

Ebert, S., Fritz, M., & Schiele, B. (2012). Semi-supervised Learning on a Budget: Scaling Up to Large Datasets. In K. M. Lee, Y. Matsushita, J. M. Rehg, & Z. Hu (Eds.), Computer Vision - ACCV 2012 (pp. 232-245). Berlin: Springer. doi:10.1007/978-3-642-37331-2_18.

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Item Permalink: https://hdl.handle.net/11858/00-001M-0000-0018-62FD-6 Version Permalink: https://hdl.handle.net/21.11116/0000-000E-219A-F
Genre: Conference Paper
Latex : Semi-supervised Learning on a Budget: {Scaling} Up to Large Datasets

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 Creators:
Ebert, Sandra1, Author           
Fritz, Mario1, Author           
Schiele, Bernt1, Author                 
Affiliations:
1Computer 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: 690
DOI: 10.1007/978-3-642-37331-2_18
 Degree: -

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Title: Asian Conference on Computer Vision
Place of Event: Daejeon, Korea
Start-/End Date: 2012-11-05 - 2012-11-09

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Title: Computer Vision - ACCV 2012
  Abbreviation : ACCV 2012
  Subtitle : 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part I
Source Genre: Proceedings
 Creator(s):
Lee, Kyoung Mu, Editor
Matsushita, Yasuyuki, Editor
Rehg, James M., Editor
Hu, Zhanyi, Editor
Affiliations:
-
Publ. Info: Berlin : Springer
Pages: - Volume / Issue: 1 Sequence Number: - Start / End Page: 232 - 245 Identifier: ISBN: 978-3-642-37330-5

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Title: Lecture Notes in Computer Science
  Abbreviation : LNCS
Source Genre: Series
 Creator(s):
Affiliations:
Publ. Info: -
Pages: - Volume / Issue: 7724 Sequence Number: - Start / End Page: - Identifier: -