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Conference Paper

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

MPS-Authors
http://pubman.mpdl.mpg.de/cone/persons/resource/persons44365

Ebert,  Sandra
Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons44451

Fritz,  Mario
Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons45383

Schiele,  Bernt
Computer Vision and Multimodal Computing, MPI for Informatics, Max Planck Society;

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Citation

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.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0018-62FD-6
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