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). https://doi.org/10.5220/0001968501130122