Generalized multi-scale stacked sequential learning for multi-class classification

@article{Puertas2013GeneralizedMS,
  title={Generalized multi-scale stacked sequential learning for multi-class classification},
  author={Eloi Puertas and Sergio Escalera and Oriol Pujol},
  journal={Pattern Analysis and Applications},
  year={2013},
  volume={18},
  pages={247-261}
}
In many classification problems, neighbor data labels have inherent sequential relationships. Sequential learning algorithms take benefit of these relationships in order to improve generalization. In this paper, we revise the multi-scale sequential learning approach (MSSL) for applying it in the multi-class case (MMSSL). We introduce the error-correcting output codesframework in the MSSL classifiers and propose a formulation for calculating confidence maps from the margins of the base… CONTINUE READING

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