Discriminative and consistent similarities in instance-level Multiple Instance Learning

  title={Discriminative and consistent similarities in instance-level Multiple Instance Learning},
  author={Mohammad Rastegari and Hannaneh Hajishirzi and Ali Farhadi},
  journal={2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)},
In this paper we present a bottom-up method to instance-level Multiple Instance Learning (MIL) that learns to discover positive instances with globally constrained reasoning about local pairwise similarities. We discover positive instances by optimizing for a ranking such that positive (top rank) instances are highly and consistently similar to each other and dissimilar to negative instances. Our approach takes advantage of a discriminative notion of pairwise similarity coupled with a… CONTINUE READING
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Referenced Papers

Publications referenced by this paper.
Showing 1-10 of 48 references

SVMs for multipleinstance learning

  • Andrews, Tsochantaridis, Hofmann
  • In NIPS,
  • 2003
Highly Influential
5 Excerpts

mantic understanding of professional soccer commentaries

  • M. Rastegari H. Hajishirzi, A. Farhadi
  • In UAI
  • 2013

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