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

Ebert, Sandra; Fritz, Mario; Schiele, Bernt

doi:10.1007/978-3-642-37331-2_18

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

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

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

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

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

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