GSML: A Unified Framework for Sparse Metric Learning

  title={GSML: A Unified Framework for Sparse Metric Learning},
  author={Kaizhu Huang and Yiming Ying and Colin Campbell},
  journal={2009 Ninth IEEE International Conference on Data Mining},
There has been significant recent interest in sparse metric learning (SML) in which we simultaneously learn both a good distance metric and a low-dimensional representation. Unfortunately, the performance of existing sparse metric learning approaches is usually limited because the authors assumed certain problem relaxations or they target the SML objective indirectly. In this paper, we propose a Generalized Sparse Metric Learning method (GSML). This novel framework offers a unified view for… CONTINUE READING
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Generalized nonmetric multidimensional scaling

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