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Classifier Combination Using Random Walks on the Space of Concepts

  • Jorge Sánchez
  • Javier Redolfi
Part of the Lecture Notes in Computer Science book series (LNCS, volume 7441)

Abstract

We propose a novel approach for the combination of classifiers based on two commonly adopted strategies in multiclass classification: one-vs-all and one-vs-one. The method relies on establishing the relevance of nodes in a graph defined in the space of concepts. Following a similar approach as in the ranking of websites, the relative strength of the nodes is given by the stationary distribution of a Markov chain defined on that graph. The proposed approach do not requires the base classifiers to provide calibrated probabilities. Experiments on the challenging problem of multiclass image classification show the potentiality of our approach.

Keywords

multiclass classification random walks image classification Fisher vectors 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2012

Authors and Affiliations

  • Jorge Sánchez
    • 1
    • 2
  • Javier Redolfi
    • 2
  1. 1.CIEM-CONICETUniversidad Nacional de CórdobaArgentina
  2. 2.CIIIUniversidad Tecnológica Nacional, Fac. Reg. CórdobaArgentina

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