An Information Geometry Approach for Distance Metric Learning

@inproceedings{Wang2009AnIG,
  title={An Information Geometry Approach for Distance Metric Learning},
  author={Shijun Wang and Rong Jin},
  booktitle={AISTATS},
  year={2009}
}
In this paper, we propose a framework for metric learning based on information geometry. The key idea is to construct two kernel matrices for the given training data: one is based on the distance metric and the other is based on the assigned class labels. Inspired by the idea of information geometry, we relate these two kernel matrices to two Gaussian distributions, and the difference between the two kernel matrices is then computed by the Kullback-Leibler (KL) divergence between the two… CONTINUE READING
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