On using nearly-independent feature families for high precision and confidence

@article{Madani2012OnUN,
  title={On using nearly-independent feature families for high precision and confidence},
  author={Omid Madani and Manfred Georg and David A. Ross},
  journal={Machine Learning},
  year={2012},
  volume={92},
  pages={457-477}
}
Consider learning tasks where the precision requirement is very high, for example a 99 % precision requirement for a video classification application. We report that when very different sources of evidence such as text, audio, and video features are available, combining the outputs of base classifiers trained on each feature type separately, aka late fusion, can substantially increase the recall of the combination at high precisions, compared to the performance of a single classifier trained on… CONTINUE READING
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On using nearly-independent feature families for high precision and confidence

  • O. Madani, M. Georg, D. A. Ross
  • Asian Machine Learning Conference
  • 2012
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