Two types of matching score dependencies might be observed during the training of multiple classifier recognition system — the dependence between scores produced by different classifiers and the dependence between scores assigned to different classes by the same classifier. Whereas the possibility of first dependence is evident, and existing classifier combination algorithms usually account for this dependence, the second type of dependence is mostly disregarded. In this chapter we discuss the properties of such dependence and present few combination algorithms effectively dealing with it.
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Tulyakov, S., Govindaraju, V. (2008). Learning Matching Score Dependencies for Classifier Combination. In: Marinai, S., Fujisawa, H. (eds) Machine Learning in Document Analysis and Recognition. Studies in Computational Intelligence, vol 90. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76280-5_12
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