However, XMLTable also includes clauses to map the target XML data into result set columns of SQL data types. 然而,XMLTable还包括一些子句,用于将目标XML数据映射到SQL数据类型的结果集列。
In target recognition data fusion, rough set theory is used to process the numerous original data, identity the redundant sensor, obtain the simplest sensor combination, reduce the characteristic data. 在目标识别的数据融合中,利用粗集理论对大量的传感器数据进行处理,判断出冗余传感器,得到传感器的最简组合,从而简化特征数据。
Study and Application in Target Recognition of Mixed Configuration Data Fusion Algorithms Based on Rough Set Theory 一种混合结构的数据融合算法研究及在目标识别中的应用
After analyzing and describing overall function goal and capability target of the general data platform in manufacturing informationalization based on domestic database systems, this thesis puts forward a set of solution for general data platform. 特别针对国产数据库在制造业领域的应用对通用数据平台架构的特殊要求,分析和描述了通用数据平台的总体功能目标和整体性能目标,提出了一套通用数据平台的整体解决方案。
Gaussian mixture model ( Gaussian Mixture Models, GMM) is an important method of machine learning, which aims to establish a probability model for the target data set. 高斯混合模型(Gaussianmixturemodels,GMM)是一种重要的机器学习方法,其目的是建立目标数据集的概率模型。
This algorithm can automatically determine the number of clusters in the target data set, and can find arbitrary shape clusters, filter the "noise" data, improve the clustering results. 该算法可以自动决定目标数据集中簇的个数,能发现任意形状的簇,并且可以过滤噪声数据改善了聚类的效果。
The target company is screened by the AHP, combined with the characteristics of private equity fund. While we can use the target companies ( listed companies) to simulate a non-listed company by the data of financial reporting, building a complete set of pricing model. 运用AHP方法筛选出目标企业,结合私募股权投资基金的特点,并根据目标企业(上市公司)模拟出一个非上市公司,运用目标企业财务报告的数据,构建出一套完整的价值定价模型。
The paper also uses C language to automatically and manually collect human target data set of the actual scene, to facilitate the training of specific target detection template and improve detection accuracy in a variety of environments. 本文还用C语言程序实现自动和手动方式采集实际场景的人体目标数据集,方便训练出特定环境下目标检测模板,提高各类环境下目标检测的精确度。