In information retrieval, vector space model is one of significant mathematics tools.
在信息检索中，向量空间模型是最有效的数学工具之一。
Based on the analysis of the deficiency of the traditional vector space retrieval model, the file structure based vector space retrieval model is presented.
分析了传统向量空间检索模型在网络信息检索中的不足，给出了基于文档结构的向量空间检索模型。
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。
The paper provides some improving measures, and gives a model of active pushing system based on vector space model, which can better improve the efficiency of Web information retrieval.
本文提出了一系列优化措施，设计了一个基于向量空间模型的主动推送系统原型，更好的满足网上信息检索效率的提高。
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。
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。
In view of the fact that geometric entities are recorded in vector form in graphics file, this paper presents an algorithm based on modified geometric hashing for shape retrieval.
针对图形文件以矢量方式记录几何实体的特点，提出了一种基于改进几何哈希法的图形检索算法。
In recent years, support vector machine algorithm is widely used on the issue of learning of retrieval function (ranking function) and performs excellently.
近年来，支持向量机算法被广泛地用于检索函数(排位函数)学习问题上且应用性能卓越。
The traditional float vector based image feature is the base of content based image retrieval techniques.
传统的以浮点矢量形式表示的图像特征，是基于内容的图像检索技术的基础。
This text puts forward a kind of method of the color coherence vector based retrieval, increasing biggest inspectional accuracy.
本文提出一种基于颜色聚合向量的图像检索方法，极大地提高了检索精度。
Comparing with the traditional vector space model, this new model is faster for information retrieval.
与向量空间模型相比，该模型的检索速度明显提高。
The thesis presents a semantic vector algorithm, builds up the network of image semantic keywords, and realizes the composite retrieval of the image low-level feature and semantics characteristics.
提出了一种语义向量算法，构建了图像语义关键词网络，实现了图像底层视觉特征和语义的复合索引。
Theoretical interpretation of sea surface emission signatures provides the potential possibility to facilitate ocean wind vector retrieval using purely passive means.
风成海面的极化辐射特性提供了利用被动微波遥感手段反演海洋风场的途径。
In this paper, the method of the retrieval of vector wind field measurements with a least-square procedure through processing the Doppler velocity data obtained by VVP technique is discussed.
本文讨论用最小二乘法处理VVP技术下测得的多卜勒速度来获取矢量风场信息量的方法。
The spectral vector can be used to retrieval directly, and the spectral angle and spectral information divergence (SID) are (effective) in similarity measure.
基于光谱曲线的相似性度量可以采用光谱角和光谱信息散度进行；
The inversion algorithm of wind vector is the kernel content of the wind retrieval algorithm.
风矢量求解算法是风场反演算法的核心内容。
The inversion algorithm of wind vector is the kernel content of the wind retrieval algorithm.
风矢量求解算法是风场反演算法的核心内容。
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