Bayesian object matching

@article{Klami2013BayesianOM,
  title={Bayesian object matching},
  author={Arto Klami},
  journal={Machine Learning},
  year={2013},
  volume={92},
  pages={225-250}
}
Matching of object refers to the problem of inferring unknown co-occurrence or alignment between observations or samples in two data sets. Given two sets of equally many samples, the task is to find for each sample a representative sample in the other set, without prior knowledge on a distance measure between the sets. Given a distance measure, the problem would correspond to a linear assignment problem, the problem of finding a permutation that re-orders samples in one set to minimize the… CONTINUE READING