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information retrieval相关的网络例句

查询词典 information retrieval

与 information retrieval 相关的网络例句 [注:此内容来源于网络,仅供参考]

A methodology of noise-like key generation is presented. Chaotic process of tentmap function is used as a deterministic generation of noise-like key, image storage and retrieval are completed in a algebraic form. A mathematics model of noise-like chaotic coding memory is constructed, meanwhile the basic mechanism of circulant convolution and circulant correlation in image information storage and retrieval are demonstrated.

在详细阐明数字序列和字母序列的1-D映射函数设计方法的基础上,利用构造出的1-D映射的稳定周期环和不稳定极限环完成了存储和联想记忆功能,为了识别有关的输入信息,提出了映射函数直接控制的方法;在此基础上,提出了一种1-D映射型混沌神经网络模型,该网络本身不当作一个"黑箱"处理,网络的参数值由网络中实现的映射函数来确定,该网络模型具有联想记忆、容错性、模式识别和奇异滤波等一系列智能信息处理的基本功能。

As early as the early 1990s, conducting large-scale foreign Set text retrieval tests will be made on the field of automatic abstracting text structure analysis for information seized request area to enhance the retrieval accuracy, and have done a series of studies, presents a simple and effective logic of the division algorithm : TextTiling algorithm.

早在90年代初期,国外在进行大规模文本集合检索试验时就提出将自动文摘领域的文本结构分析应用于信息检索领域以提高检索精度,并对此进行了一系列研究,提出了一种简单有效的逻辑段划分算法:TextTiling算法。

The Search engine is not perfect because of the low retrieval efficiency, the high rate of mistakable or missing outcome, the large amount of returned information and the unsolved non-text document retrieval. The mode of "one search for all user", can't meet the user's individualized message requirements.

搜索引擎检索效率不甚理想,漏检误检率较高;返回信息量太大,非文本文件检索困难;"一个搜索适用所有用户"的模式,不能满足用户个性化信息需求。

This article first penetrates with studies of system structure,realization technology and relevance knowledge of Web GIS, afteranalyzing several major domestic and foreign Web GIS platform,proposes the solution to spatial resources information publishing systembased on ArcGIS Server; Then through the independent research anddevelopment of "rare character retrieval software", solves the rarecharacter and the GB character integrated input and the rare characterdistribution question; United the function of renewal project informationmanagement publishing system, proposes the system solution, as well asreasonable database structure; Finally, through developing the spatialresources information publishing system, the on-line documentmanagement system and the renewal project information network,organizing and the managing renewal information according to the region,realizes scientific style and the automated management for each kind ofinformation, and provides method of information inquiry and analysisbased on the network and the GIS technology.

首先,深入研究网络GIS的体系结构、实现技术及相关知识,通过分析比较国内外几种主要网络GIS平台之后,提出基于ArcGIS Server的空间资源信息发布系统解决方案;然后通过自主研发"生僻字检索工具软件",解决生僻字与国标字的一体化录入以及生僻字的分发应用问题;结合更新项目管理信息发布系统功能,分析提出本系统的总体设计,以及数据库的合理结构;最后,通过空间资源信息发布系统、在线文件管理系统和更新项目信息网三个模块的开发,按地域来组织和管理更新信息,并提供基于网络和GIS技术的信息查询和分析手段,实现各类信息的科学化和自动化管理。

We construct the synthesis reasoning sources according to the multimedia object low-level features and the reasoning source intensity field according to the multimedia co-existence information. A series of multimedia semantic spaces are built by spectral method after synthesis reasoning. The cross-media retrieval is performed on a per-query basis by which different retrieval methods are adopted for different queries.

首先根据多媒体对象的底层特征构造推理源,根据多媒体对象的共生关系构造影响源场来进行综合推理,并构造出多媒体语义空间;然后针对不同检索例子,根据伪相关反馈为每一个检索例子自适应地选择不同的检索方法进行跨媒体检索。

The following results are made from this research: Assessing data quality and band combination of different bands in line with geo-target features in desertification areas, and determining basic bands for desertification monitoring. And understanding and studying the spectral features and variation rules of geo-targets in the experimental area, raising that it is the basis of geo-targets information collection with imaging spectrometer data to understand spectral features and variation rules of geo-targets, realizing that in a great extent spectral-integrated-form-based classification method can remove the phenomenon of "different spectrum with same objects" resulted from reflection ratio curve translation because of the angle change among sensor, targets and observation direction, and the average and variance images can be introduced to solve the problem of two kinds of geo-target with similar spectral forms and much different values of whole reflectionratio. It is suggested that "red edge" range bands of vegetation, which has close relationship with vegetation cover and biomass, is the main characteristic bands and important basis for careful vegetation classification and quantitative retrieval, and pixel-based derivative spectral analysis is very useful for removing the effects of soil background values and quantitatively retrieving vegetation biomass and cover. The remote sense quantitative retrieval model is developed for main appraisable factors of desertification monitoring assessment with imaging spectrometer data and then the applicability of model is analyzed.

研究结果如下:首先针对荒漠化地区的地物特征,对高光谱数据不同波段的数据质量、波段组合进行了评价,提出了适用于荒漠化监测的基本波段选择集;初步了解和掌握了研究地区的地物光谱特性及变异规律,进一步明确了掌握地物光谱特征和变异规律是用成像光谱仪数据提取地物信息的基础;发现了基于光谱整体形状的分类方法在很大程度上能够消除由于传感器、地物目标观测方向之间的角度变化引起的反射率曲线整体平移的"同物异谱"现象,对于谱形相似而整体反射率的值相差较大的两类地物,通过引入均值和方差图像参与分类得到解决;研究还表明在植被"红边"范围内的波段是进行荒漠化监测的主要特征波段,这些波段与植被生物量和盖度都有密切的关系,是开展精细植被分类研究和植被定量反演的重要基础;像元的导数光谱分析可以消除土壤背景的影响,是进行植被生物量和盖度定量反演的有力工具;建立了荒漠化监测主要评价因子的定量反演模型,并分析了模型的适用性。

To implement the personalized retrieval, this system firstly store the user's initial info into the database via the Frame Format, and the user's knowledge repository can be modified automaticly by user's retrieval information and the feedback information of the retrieval result.

个性化检索的实现,首先是通过知识表示中的框架表示法对用户的知识信息进行存储,并在用户使用系统的过程中由用户的检索兴趣和对检索结果的反馈信息对用户知识做动态更新。

The following results are made from this research: Assessing data quality and band combination of different bands in line with geo-target features in desertification areas, and determining basic bands for desertification monitoring. And understanding and studying the spectral features and variation rules of geo-targets in the experimental area, raising that it is the basis of geo-targets information collection with imaging spectrometer data to understand spectral features and variation rules of geo-targets, realizing that in a great extent spectral-integrated-form-based classification method can remove the phenomenon of "different spectrum with same objects" resulted from reflection ratio curve translation because of the angle change among sensor, targets and observation direction, and the average and variance images can be introduced to solve the problem of two kinds of geo-target with similar spectral forms and much different values of whole reflectionratio. It is suggested that "red edge" range bands of vegetation, which has close relationship with vegetation cover and biomass, is the main characteristic bands and important basis for careful vegetation classification and quantitative retrieval, and pixel-based derivative spectral analysis is very useful for removing the effects of soil background values and quantitatively retrieving vegetation biomass and cover. The remote sense quantitative retrieval model is developed for main appraisable factors of desertification monitoring assessment with imaging spectrometer data and then the applicability of model is analyzed.

研究结果如下:首先针对荒漠化地区的地物特征,对高光谱数据不同波段的数据质量、波段组合进行了评价,提出了适用于荒漠化监测的基本波段选择集;初步了解和掌握了研究地区的地物光谱特性及变异规律,进一步明确了掌握地物光谱特征和变异规律是用成像光谱仪数据提取地物信息的基础;发现了基于光谱整体形状的分类方法在很大程度上能够消除由于传感器、地物目标观测方向之间的角度变化引起的反射率曲线整体平移的&同物异谱&现象,对于谱形相似而整体反射率的值相差较大的两类地物,通过引入均值和方差图像参与分类得到解决;研究还表明在植被&红边&范围内的波段是进行荒漠化监测的主要特征波段,这些波段与植被生物量和盖度都有密切的关系,是开展精细植被分类研究和植被定量反演的重要基础;像元的导数光谱分析可以消除土壤背景的影响,是进行植被生物量和盖度定量反演的有力工具;建立了荒漠化监测主要评价因子的定量反演模型,并分析了模型的适用性。

The main works of this paper include four points as follows:(1) Patent retrieval domain ontology is designed through analyzing the common concepts in searching patent information. And the international patent classification table is expressed using ontology;(2) Design users'interests model from the information actively provided by users and passively provided by system based on users'requirements and historical searching record;(3) Design and implement three patent retrieval modes: quick search, table search, and advance search to meet various users'demands. And combine ontology, user's interest model and the inputed retrieval condition when users search for patent informations. This realizes individualized retrieval which meets the demands of users;(4) When users's search term is inaccurate, the precision will drop markedly and users will receive many disrelated informations.

本文的主要工作包括以下四点:(1)通过分析专利检索的常用概念,设计了专利检索领域本体和国际专利分类表(International Patent Classification,IPC)的本体表示;(2)根据用户的需求以及历史检索记录,从用户主动提供和系统被动学习两方面着手,设计了用户兴趣模型的本体表示;(3)为满足不同层次、不同需求的用户,设计并实现了三种专利检索方式:快速检索、表格检索、高级检索,并将本体、用户兴趣模型、用户输入的检索条件三者相结合,实现满足用户需求的个性化检索;(4)通过设计将检索结果按IPC号分类,由用户自主选择需要浏览的类别来为用户提供个性化服务。

The content\|based retrieval system for remote sensing images (CBRSIR has become resultingly a hot research field with the potential to retrieval interesting information from image databases automatically and intelligently.

随着遥感图像数量的急剧增加,如何进行高效检索已成为遥感图像信息提取和共享的瓶颈问题,基于内容的遥感图像检索因此逐渐成为了研究热点。

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