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- The Image Database System of Content Based Query 基于内容查询的图象数据库系统
- The demonstration program of data base query. 数据库查询示例程序
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- No additional configuration for collocation is required if using content based routing. 如果使用基于内容的路由,则并置不需要额外的配置。
- Through the problem analysis, the article constructs a PKI module and design the content based on needs. 通过在“新会市电力工业局数字电力系统”课题中遇到的问题,架构了一个公钥基础设施模型,根据功能需要具体设计了系统的组成。
- This article specially discusses this content based en seme scattered reliable historical materials. 本文依据一些散见的可靠史料专门论述这一内容。
- Content based image retrieval (CBIR) is just one of key technologies for such a problem. 基于内容的图象检索(Content Based Image Retrieval, CBIR)技术就是解决这一问题的关键技术之一。
- One related key issue in Content Based Image Retrieval (CBIR) is the representation of image visual content. 在基于内容的图像检索中,一个关键的问题是图像视觉内容的表述。
- Search and locate content based on identifications and descriptions at levels within the content store subject to privacy and rights constraints. 在服从私密性和版权的约束下,在内容存储中根据标识和描述在各个级别搜寻和定位内容。
- The abstractive content based retrieve experiments were made by the semantic matching procedure in constructed semantic network. 通过构造语义网络的方法和在语义网络上的语义匹配过程,进行了使用抽象信息层次信息实现检索的实验。
- Experiment shows that the proposed VK-LLE method can achieve higher precision rate in content based image retrieval problem. 实验结果表明,提出的可变k近邻LLE数据降维方法在基于内容的图像检索中取得了较高的检索准确率。
- Maximum foamable composites were found to be around 30% wood content based on the prescription set for this experiment. 2. 1.依照此试验所设定之条件,其可发泡之复合物之含木率极限为约30%25。
- Feature extraction is the foundation of audio classification,while audio classification is a key of content based audio retrieval. 音频特征提取是音频分类的基础,而音频分类又是基于内容的音频检索的关键。
- Feature extraction is the foundation of audio classification, while audio classification is a key of content based audio retrieval. 摘要音频特征提取是音频分类的基础,而音频分类又是基于内容的音频检索的关键。
- XML-RDBMS mapping tool with a services framework for executing XML based queries. 这是个XMl-RDBMS映射工具,提供了一个服务框架用于执行基于XML的查询。
- Abstract: The association analysis of data mining was introduced into the content based image retrieval (CBIR), and a novel CBIR method was put forward. 摘 要: 将数据挖掘中的灰关联分析引入基于内容的图像检索中,提出一种基于灰关联度的回转窑火焰图像的检索方法。
- The Optimization of R-tree Based Query 基于R树查询的性能优化
- Content Based Image Retrieval(CBIR)is an extension to the traditional information retrieval.It adopts visual content rather than keyword to judge image similarity. 基于内容的图像检索(CBIR)是对传统信息检索领域的扩展.;它采用图像视觉内容的相似性判别进行查询
- The essential steps for content based video indexing are video segmentation, key frame selection, static and dynamic feature extraction and video clustering. 基于内容的视频索引中的主要步骤有视频分割、关键帧的选择、静态特征与动态特征的提取以及视频聚类等。
- user oriented data base query system 面向用户的数据库查询系统