计算机科学 ›› 2014, Vol. 41 ›› Issue (1): 88-90.
郝虹,计华,张化祥,刘丽
HAO Hong,JI Hua,ZHANG Hua-xiang and LIU Li
摘要： 将改进的ML-I2C与基于标记相关性的方法结合,提出一种改进的多标记场景分类方法。首先提取所有图像的SURF特征,将每个类用一个特征集来表示；然后采用改进的I2C方法来计算待测图像与已知类之间的距离,根据距离进行标记排序；最后根据排序,利用标记相关性来预测待测图像的所有可能标记。实验结果表明,该方法对多标记场景分类的准确率较高。
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