Representative Selection on a Hypersphere

@article{Wang2018RepresentativeSO,
  title={Representative Selection on a Hypersphere},
  author={Hongxing Wang and Junsong Yuan},
  journal={IEEE Signal Processing Letters},
  year={2018},
  volume={25},
  pages={1660-1664}
}
  • Hongxing Wang, Junsong Yuan
  • Published in
    IEEE Signal Processing…
    2018
  • Mathematics, Computer Science
  • Finding representative examples is important for pattern discovery and data analytics. In this letter, we propose a novel formulation for representative selection via center reconstruction on a hypersphere, which makes the selection not affect the center information of given data, thus, the overall data distribution can also be easily maintained by those selected representatives. We adopt the proximal gradient strategy and the fast iterative shrinkage-thresholding algorithm to solve the problem… CONTINUE READING

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