Finally, the relevance feedback system is introduced.
最后提出了相关的反馈系统。
The success of relevance feedback depends on certain assumptions.
相关反馈的成功是基于一些假设的。
The relevance feedback is a important component of image retrieval.
相关性反馈是图像检索中一个重要的组成部分。
Research on Bayesian decision theory based relevance feedback mechanism.
研究了基于贝叶斯理论的相关反馈方法。
Figure 5 shows that the technique of relevance feedback can certainly improve the retrieval results.
图5表明了，该相关反馈技术可以显著改善检索的结果。
Relevance feedback algorithm based on support vector machine and rough set for image retrieval is approached.
研究基于支持向量机和粗糙集的相关反馈图像检索算法。
This paper introduces the technology of relevance feedback and relevance feedback model in the text relevance.
本文介绍了文本检索中相关性反馈技术及相关性反馈模型。
In this basis, the relevance feedback technology and relevance feedback model of content-based image retrieval.
在此基础上，引入基于内容的图像相关性反馈技术及相关性反馈模型。
The last part proved effectiveness of CBIR system based on relevance feedback technology through an experiment.
第五部分通过对实验结果的分析和总结，证明引入相关反馈机制对CBIR系统性能的优化和改善。
A new relevance feedback scheme is proposed based on a support vector learning algorithm for ordinal regression.
基于持向量学习算法，提出了一种新的相关反馈方案。
In order to improve the retrieval performance, the fast indexing and relevance feedback technique are introduced.
为了改善检索性能，系统中引入了快速索引和相关反馈技术。
In order to improve the performance of retrieval, relevance feedback technology has been introduced into image retrieval.
为了提高检索性能，将相关反馈技术引入图像检索。
Especially, SVM based relevance feedback greatly improve the performance of retrieval system with its good generalization.
特别是基于支持向量机的相关反馈，由于具有良好的泛化能力，因而进一步提高了检索性能。
Meanwhile, the technology of relevance feedback is combined with the presented algorithm to enhance the effectiveness of retrieval.
同时，还将相关反馈技术融合到多分辨率分块主色算法中，以改善检索效果。
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。
Afterward, this paper discussed how to design an image retrieval system based on relevance feedback, and established a experimental system.
在此基础上，讨论了相关反馈图像搜索引擎的系统构建的问题，并实现了一个实验系统。
In network information retrieval, based on document vector space, class, cluster, ranking and relevance feedback need to compute similarity.
在网络信息检索中，基于文档向量空间的分类、聚类、排序与相关性反馈需要计算相似度。
An image retrieval method using the accumulated user's relevance feedback records is presented to improve the performance of image retrieval.
利用系统积累的反馈历史数据来改善图像检索的效果引起了越来越多的关注。
And a relevance feedback mechanism is added to the system, by adjusting the weight to search again then sort and show images using the new rules.
并为系统添加了相关反馈机制，通过调整权值进行重新检索后使用新的规则进行排序显示。
Visional feature extraction, high dimensional indexing mechanism and relevance feedback are three important issues in content-based image retrieval.
低层视觉特征提取、高维数据索引机制和相关反馈方法是面向大规模图像库基于内容检索的三个关键问题。
This paper explores vector-based similarity computing scheme, and discusses the application of similarity in class, cluster, ranking and relevance feedback.
本文就基于向量的相似度计算方案进行探讨，并论述了相似度在文档分类、聚类、排序与相关性反馈中的应用。
To improve the efficiency of relevance feedback quickly, an integrated memorization and (semi -) supervision active relevance feedback algorithm is presented.
为快速提高相关反馈算法的效率，提出一种记忆与半监督相结合的主动相关反馈算法。
According to that, the paper expatiates on key technologies used in CBIR researches, such as feature extracting, similarity measuring, and relevance feedback, etc.
面对这种研究现状，本文详细分析了基于内容的图像检索的各种特征提取方法、相似性度量方法以及相关反馈技术等。
A novel auto relevance feedback image retrieval method called the outer auto relevance feedback(OARF) is proposed based on the pseudo-relevance feedback technology.
针对如何在图像检索系统中客观地表达用户的感知，提出了一种基于粗糙集和遗传算法的相关反馈图像检索方法。
The algorithm combines active learning, biased classification and incremental learning to model the small sample biased learning problem in relevance feedback process.
该算法将主动式学习、有偏分类和增量学习结合起来，对相关反馈过程中的小样本有偏学习问题进行建模。
This is needed anyhow for successful information retrieval in the basic case, but it is important to see the kinds of problems that relevance feedback cannot solve alone.
这是成功信息检索所需的基础，但是它对看到一些相关反馈不能单独解决问题的种类是重要的。
In order to improve the performance of information retrieval system, a retrieval algorithm combining multi-query data fusion with positive relevance feedback is presented.
为提高信息检索系统的性能，提出了一种多查询数据融合与正相关反馈相结合的检索算法。
At the same time, we used relevance feedback and machine learning used in image retrieval. K-NN, BP neural network and support vector machine classifiers were used in experiments.
同时本文将机器学习和相关反馈结合起来用于图像检索，在实验中使用了K -NN、BP神经网络和支持向量机分类器。
This paper focuses on the relevance feedback techniques in content based image retrieval and try to make this paper helpful for research and application of content-based image retrieval.
本文主要针对基于内容的图像检索中的相关反馈技术展开研究，希望通过本文的工作能够对基于内容图像检索领域的研究和应用有所帮助。
This paper focuses on the relevance feedback techniques in content based image retrieval and try to make this paper helpful for research and application of content-based image retrieval.
本文主要针对基于内容的图像检索中的相关反馈技术展开研究，希望通过本文的工作能够对基于内容图像检索领域的研究和应用有所帮助。
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