Generalized sparse metric learning with relative comparisons

@article{Huang2010GeneralizedSM,
  title={Generalized sparse metric learning with relative comparisons},
  author={Kaizhu Huang and Yiming Ying and Colin Campbell},
  journal={Knowledge and Information Systems},
  year={2010},
  volume={28},
  pages={25-45}
}
The objective of sparse metric learning is to learn a distance measure from a set of data in addition to finding a low-dimensional representation. Despite demonstrated success, the performance of existing sparse metric learning approaches is usually limited because the methods assumes certain problem relaxations or they target the SML objective indirectly. In this paper, we propose a Generalized Sparse Metric Learning method. This novel framework offers a unified view for understanding many… CONTINUE READING
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