Metric learning for semi-supervised clustering of Region Covariance Descriptors

@article{Sivalingam2009MetricLF,
  title={Metric learning for semi-supervised clustering of Region Covariance Descriptors},
  author={Ravishankar Sivalingam and Vassilios Morellas and Daniel Boley and Nikolaos Papanikolopoulos},
  journal={2009 Third ACM/IEEE International Conference on Distributed Smart Cameras (ICDSC)},
  year={2009},
  pages={1-8}
}
In this paper we extend distance metric learning to a new class of descriptors known as Region Covariance Descriptors. Region covariances are becoming increasingly popular as features for object detection and classification over the past few years. Given a set of pairwise constraints by the user, we want to perform semi-supervised clustering of these descriptors aided by metric learning approaches. The covariance descriptors belong to the special class of symmetric positive definite (SPD… CONTINUE READING
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