一种新的动态权重更新相关反馈方法

New updating approach of dynamic weight for relevance feedback

提出了正负相关图像所占比例与特征值的标准方差相结合来调整对应权值的方法。为了避免相关反馈的权值调整陷入局部最优状态,引入一个干扰因子,使权值跳出局部最优区域。结果表明了该方法的优越性。

This paper proposed an approach of updating corresponding weight by combining the proportion of relevant and irrelevant images, According the proportion, using the standard deviation adjusted the feature value. To avoid the state of suboptimal, a disturbing factor had been used to get the best feature weights. Experiments show the better result.