关键词: 相关反馈, 机器学习, Boosting方法, 图像检索

Abstract: Relevance feedback technology based on machine learning becomes focus in image retrieval.In relevance feedback based on SVM，sample is lack and unbalance，precise feedback is low.For these problem，in this paper，a new relevance feedback method based on machine learning is presented，which combines on Boosting and SVM.It improves image retrieval speed and accuracy.A new feedback method based on long machine learning is presented.Experiments show that the proposed system is not only efficient but also effective.

Key words: relevance feedback, machine learning, Boosting, image retrieval