Modified Large Margin Nearest Neighbor Metric Learning for Regression

  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},
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

From This Paper

Figures, tables, and topics from this paper.
2 Citations
14 References
Similar Papers


Publications citing this paper.


Publications referenced by this paper.
Showing 1-10 of 14 references

Metric learning : A survey , ” Found

  • B. Kulis
  • Trends Mach . Learn .
  • 2013

Metric learning: A survey

  • B. Kulis
  • Found. Trends Mach. Learn., vol. 5, no. 4, pp…
  • 2013
1 Excerpt

Distance metric learning for large margin nearest neighbor classi fi cation

  • J. Peng C. Domeniconi, D. Gunopulos
  • J . Mach . Learn . Res .
  • 2009

Similar Papers

Loading similar papers…