Modified Large Margin Nearest Neighbor Metric Learning for Regression

@article{Assi2014ModifiedLM,
  title={Modified Large Margin Nearest Neighbor Metric Learning for Regression},
  author={Kondo Claude Assi and Hubert Labelle and Farida Cheriet},
  journal={IEEE Signal Processing Letters},
  year={2014},
  volume={21},
  pages={292-296}
}
The main objective of this letter is to formulate a new approach of learning a Mahalanobis distance metric for nearest neighbor regression from a training sample set. We propose a modified version of the large margin nearest neighbor metric learning method to deal with regression problems. As an application, the prediction of post-operative trunk 3-D shapes in scoliosis surgery using nearest neighbor regression is described. Accuracy of the proposed method is quantitatively evaluated through… CONTINUE READING

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