计算机科学 ›› 2010, Vol. 37 ›› Issue (5): 168-170.
• 人工智能 • 上一篇 下一篇
陆晓艳,周良,丁秋林
出版日期:
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基金资助:
LU Xiao-yan,ZHOU Liang,DING Qiu-lin
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摘要: 基于内容的矢量图形检索系统可以通过使用相关反馈算法获得较好的检索性能。提出了一种新的基于组合分类器的相关反馈算法,该算法以每一个正负反馈样本作为唯一的训练样本,形成各个独立的最近部分类器,融合各个分类器的预估结果,计算库中每个图形的相关分数,并引入贝叶斯查询点移动技术来优化相关分数。实验结果表明,该算法在进一步提高矢量图形检索系统查准率的同时,还能保证系统的查全率。
关键词: 组合分类器,贝叶斯查询点移动,相关反馈,矢量图形检索
Abstract: High retrieval performances in content based vector graphics retrieval system can be attained by adopting relevance feedback algorithms. A new relevance feedback approach based on combining classifiers was proposed, which combines the expected results from the independent nearest neighbor classifiers with only one training sample formed by each positive or negative feedback sample, computes the relevance score of every vector graphics and optimizes the relevance score by introducing the technique called "Bayesian Query Shifting“. The results of the experiment show that the algorithm not only can further improve the precision of the vector graphics retrieval system but also can ensure the recall of the system.
Key words: Combining classifiers,I3ayesian query shifting,Relevance feedback,Vector graphics retrieval
陆晓艳,周良,丁秋林. 基于组合分类器的相关反馈算法研究[J]. 计算机科学, 2010, 37(5): 168-170. https://doi.org/
LU Xiao-yan,ZHOU Liang,DING Qiu-lin. Research on Relevance Feedback Algorithm Based on Combining Classifiers[J]. Computer Science, 2010, 37(5): 168-170. https://doi.org/
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