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arXiv · 1408.6963

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

Xavier Boix·Gemma Roig·Luc Van Gool
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Abstract

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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Xavier Boix, Gemma Roig, Luc Van Gool. 2014-08-29. Comment on "Ensemble Projection for Semi-supervised Image Classification". https://arxiv.org/abs/1408.6963

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