Group Membership Prediction

@article{Zhang2015GroupMP,
  title={Group Membership Prediction},
  author={Ziming Zhang and Yuting Chen and Venkatesh Saligrama},
  journal={2015 IEEE International Conference on Computer Vision (ICCV)},
  year={2015},
  pages={3916-3924}
}
The group membership prediction (GMP) problem involves predicting whether or not a collection of instances share a certain semantic property. For instance, in kinship verification given a collection of images, the goal is to predict whether or not they share a familial relationship. In this context we propose a novel probability model and introduce latent view-specific and view-shared random variables to jointly account for the view-specific appearance and cross-view similarities among data… CONTINUE READING
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