Collaboratively Regularized Nearest Points for Set Based Recognition

  title={Collaboratively Regularized Nearest Points for Set Based Recognition},
  author={Yang Wu and Michihiko Minoh and Masayuki Mukunoki},
Set based recognition has been attracting more and more attention in recent years, benefitting from two facts: the difficulty of collecting sets of images for recognition fades quickly, and set based recognition models generally outperform the ones for single instance based recognition. In this paper, we propose a novel model called collaboratively regularized nearest points (CRNP) for solving this problem. The proposal inherits the merits of simplicity, robustness, and high-efficiency from the… CONTINUE READING
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