Regression Nearest Neighbor in Face Recognition

@article{Yang2006RegressionNN,
  title={Regression Nearest Neighbor in Face Recognition},
  author={Shu Yang and Chao Zhang},
  journal={18th International Conference on Pattern Recognition (ICPR'06)},
  year={2006},
  volume={3},
  pages={515-518}
}
In this paper, we introduce a regression nearest neighbor framework for general classification tasks. To alleviate potential problems caused by nonlinearity, we propose a kernel regression nearest neighbor (KRNN) algorithm and its convex counterpart (CKRNN) as two specific extensions of nearest neighbor algorithm and present a fast and useful kernel selection method correspondingly. Comprehensive analysis and extensive experiments are used to demonstrate the effectiveness of our methods in real… CONTINUE READING

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