Tree Fusion Method for Semantic Concept Detection in Images
نویسندگان
چکیده
A novel fusion method for semantic concept detection in images, called tree fusion, is proposed. Various kinds of features are given to different classifiers. Then, according to the importance of features and effectiveness of classifiers, the results of feature-classifier pairs are ranked and fused using C4.5 algorithm. Experimental results conducted on the MSRC and PASCAL VOC 2007 datasets have demonstrated the effectiveness of the proposed method over the traditional fusion methods. key words: semantic concept detection in images, fusion, C4.5 algorithm
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عنوان ژورنال:
- IEICE Transactions
دوره 97-D شماره
صفحات -
تاریخ انتشار 2014