Semi-Supervised Learning on a Budget: Scaling Up to Large Datasets. Ebert, S., Fritz, M., & Schiele, B. In Lee, K. M., Matsushita, Y., Rehg, J. M., & Hu, Z., editors, ACCV (1), volume 7724, of Lecture Notes in Computer Science, pages 232-245, 2012. Springer.
Semi-Supervised Learning on a Budget: Scaling Up to Large Datasets. [link]Link  Semi-Supervised Learning on a Budget: Scaling Up to Large Datasets. [link]Paper  bibtex   
@inproceedings{conf/accv/EbertFS12,
  added-at = {2017-05-21T00:00:00.000+0200},
  author = {Ebert, Sandra and Fritz, Mario and Schiele, Bernt},
  biburl = {https://www.bibsonomy.org/bibtex/20acf0a14be5c50338bacf8e24b2f2ec8/dblp},
  booktitle = {ACCV (1)},
  crossref = {conf/accv/2012-1},
  editor = {Lee, Kyoung Mu and Matsushita, Yasuyuki and Rehg, James M. and Hu, Zhanyi},
  ee = {https://doi.org/10.1007/978-3-642-37331-2_18},
  interhash = {ab43d5cf590e6abe078b9b6b7dd34914},
  intrahash = {0acf0a14be5c50338bacf8e24b2f2ec8},
  isbn = {978-3-642-37330-5},
  keywords = {dblp},
  pages = {232-245},
  publisher = {Springer},
  series = {Lecture Notes in Computer Science},
  timestamp = {2019-05-15T15:01:31.000+0200},
  title = {Semi-Supervised Learning on a Budget: Scaling Up to Large Datasets.},
  url = {http://dblp.uni-trier.de/db/conf/accv/accv2012-1.html#EbertFS12},
  volume = 7724,
  year = 2012
}
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