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Good recognition is non-metric

Good recognition is non-metric. W.J. Scheirer, M.J. Wilber, M. Eckmann, T.E. Boult Pattern Recognition, August 2014, 47(2014)2721–2731. Metric distances. Meta-analysis on published results w.r.t. metric procedures. Labeled Faces in the Wild (LFW) performances.

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Good recognition is non-metric

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  1. Good recognition is non-metric W.J. Scheirer, M.J. Wilber, M. Eckmann, T.E. Boult Pattern Recognition, August 2014, 47(2014)2721–2731 Coffee Talk

  2. Metric distances Meta-analysis on published results w.r.t. metric procedures Coffee Talk

  3. Labeled Faces in the Wild (LFW) performances Coffee Talk

  4. CalTech 101, 15 training images Coffee Talk

  5. CalTech 101, 30 training images Coffee Talk

  6. Multi-class SVM (non-metric) is better and faster than metric learning Coffee Talk

  7. Conclusions Many popular procedures are non-metric when applied pairwise Multi-class SVM One shot similarity Cosine similarity PLDA Tom-vs-Pete … it is unclear what advantage, if any, would be provided by enforcing the constraints of symmetry and the triangle inequality. …. What is the advantage of metric learning? Coffee Talk

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