Large-Margin Metric Learning for Constrained Partitioning Problems

  title={Large-Margin Metric Learning for Constrained Partitioning Problems},
  author={R{\'e}mi Lajugie and Francis R. Bach and Sylvain Arlot},
We consider unsupervised partitioning problems based explicitly or implicitly on the minimization of Euclidean distortions, such as clustering, image or video segmentation, and other change-point detection problems. We emphasize on cases with specific structure, which include many practical situations ranging from meanbased change-point detection to image segmentation problems. We aim at learning a Mahalanobis metric for these unsupervised problems, leading to feature weighting and/or selection… CONTINUE READING
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