Group-based relevance feedback with support vector machine ensembles

  title={Group-based relevance feedback with support vector machine ensembles},
  author={Steven C. H. Hoi and Michael R. Lyu},
  journal={Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004.},
  pages={874-877 Vol.3}
Support vector machines (SVMs) have become one of the most promising techniques for relevance feedback in content-based image retrieval (CBIR). Typical SVM-based relevance feedback techniques simply apply the strict binary classifications: positive (relevant) class and negative (irrelevant) class. However, in a real-world relevance feedback task, it is more reasonable and practical to assume the data come from multiple positive classes and one negative class. In order to formulate an effective… CONTINUE READING
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