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Comment on ``Ensemble Projection for Semi-supervised Image Classification

Xavier Boix, Gemma Roig, Luc van Gool
, 2014
, in press arXiv


In a series of papers by Dai and colleagues [1,2], a feature map (or kernel) was introduced for semi- and unsupervised learning. This feature map is build from the output of an ensemble of classifiers trained without using the ground-truth class labels. In this critique, we analyze the latest version of this series of papers, which is called Ensemble Projections [2]. We show that the results reported in [2] were not well conducted, and that Ensemble Projections performs poorly for semi-supervised learning.

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  author = {Xavier Boix and Gemma Roig and Luc van Gool},
  title = {Comment on ``Ensemble Projection for Semi-supervised Image Classification},
  year = {2014},
  institution = {arXiv},
  keywords = {},
  note = {in press}