| 1. | Research of relevance feedback based on semantic in search engine
搜索引擎中语义相关反馈技术的研究 |
| 2. | Furthermore , how to use relevance feedback in content - based image retrieval system is discussed
探讨了在基于内容的图象检索中相关性反馈机制的建立。 |
| 3. | After simulating the two classic algorithms proposed by rui and aksoy , we propose a novel feature re - weighting approach for relevance feedback
在此基础上,提出了一种新的基于修改特征权重的相关反馈新算法。 |
| 4. | Finally , the precisions and recalls of single feature , multi - feature integration and relevance feedback are calculated and compared
最后分别给出基于单一特征，特征融合和相关反馈方法的查准率和查全率，并对试验结果进行分析。 |
| 5. | Firstly , one image retrieval framework based on “ fuzzy semantic relevant matrix ” ( fsrm ) is proposed , which uses users ’ relevance feedback sufficiently
首先提出了一种基于“模糊语义相关矩阵”的图像检索模型,该模型充分利用了用户的反馈。 |
| 6. | Relevance feedback techniques and high dimensional indexing schemes are two significant research issues for content - based image retrieval in large - scale image database
相关反馈方法和高维数据的索引机制是面向大规模图像库基于内容检索的两个重要问题。 |
| 7. | Irobot will receive the relevance feedback of the result and revise the keywords and initial link set . finally , the thesis summarizes the experience of designing irobot system
文章的最后总结了irobot系统的研究和开发经验，并对未来的工作进行了展望。 |
| 8. | In this article , based on the introduction of framework of cbir with relevance feedback , a real image retrieval system was constructed
本文详细介绍了基于相关性反馈技术的图像检索系统框架。在此基础上设计并实现了一个基于相关性反馈技术的图像检索系统。 |
| 9. | Thirdly , an emphasized research is focused on the appliance of relevance feedback in cbir , and an improved method based on the relevance of the users is given
本文重点研究了相关反馈机制在图像检索中的应用，给出了一种基于用户反馈的交互式图像检索方法。 |
| 10. | Salton , g . & buckley , c . " improving retrieval performance by relevance feedback , " journal of the american society for information science , 41 ( 4 ) , 1990 , pp . 288 - 297
李宜容， "人文及社会学科读者使用线上公用目录检索词汇之研究" ，淡江大学教育资料科学研究所硕士论文，民85年。 |
