Adaptive committees of feature-specific classifiers for image classification

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We present a system for image classification based on an adaptive committee of five classifiers, each specialized on classifying images based on a single MPEG-7 feature. We test four different ways to set up such a committee, and obtain important accuracy improvements with respect to a baseline in which a single classifier, working an all five features at the same time, is employed.




Fagni, T., Falchi, F., & Sebastiani, F. (2009). Adaptive committees of feature-specific classifiers for image classification. In Proceedings of the 2nd International Workshop on Image Mining Theory and Applications, IMTA 2009 In Conjunction with VISIGRAPP 2009 (pp. 113–122).

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