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feature vector相关的网络例句

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In this thesis, the theory, algorithm and applications combined with the project "research on the feature extraction and analysis of XX acoustic vector" are discussed, according to the present development, main problems and practical needs in application of feature extraction of pressure and acoustic vector signals.

本文根据声压和声矢量信号特征提取的研究现状、存在的主要问题以及工程实际应用的基本要求,结合基金项目"XX声矢量特征提取与分析研究"的内容,对目标特征提取及其分类识别进行了理论、算法与应用方面的探讨。

Data sample pretreatment of decision tree and Support Vector Machine method is conducted by the documents of product design knowledge segmentation processing, feature extraction, feature merger and expression vector.

通过对产品设计知识文档的分词处理、特征抽取、特征合并及向量表达,为决策支持向量机方法提(来源:d6f5A6fBC论文网www.abclunwen.com)供样本数据预处理。

First, the proposed scheme uses contourlet transform to extract multidirectional and multiscale texture information, and then obtains the feature points invariant to the affine transformation from the low and middle directional subbands by Harris-Affine detector. Second, the feature regions are adaptively computed by the feature scale of the local structure and normalized by U transform. The watermarking is embedded adaptively in those characteristic regions which are normalized. Finally, by vector quantization, several copies of the watermark are embedded into the no overlapped local feature regions in different directional subbands.

首先,用Contourlet变换提取出多尺度、多方向的纹理信息;再用Harris-Affine检测算子从变换域的中、低频方向子带中提取出仿射不变特征点,结合自适应局部结构的特征尺度确定特征区域,并用U变换对其归一化处理,水印就自适应地嵌入到归一化后的区域中;水印嵌入采纳矢量量化的策略,将水印信息重复嵌入到不同方向子带、多个不相交的局部仿射不变特征区域。

In this chapter, three kinds of target recognition methods are performed, which are:①Target recognition method based on the description of polarization parameter plane. The echo polarization states of target are projected onto the polarization state plane described by the ellipticity ε and the tilt angle τ of the polarization ellipse, the change of parameter following ferquency becomes the chart. According to the changing trait of the chart, the multidimensional polarization feature space of target has been contructed. Furthermore, a series of polarization feature parameters used in designing the structure of target recognition device are extracted, and they are insensible to the posture of target.②Target recognition method based on the description of Poincare polarization sphere. The echo polarization states of target expressed by Stokes vector are projected onto the Poincare polarization sphere. The conception of polarization ferquency stability, which is used in describing the dynamic distribution characteristics of the target echo polarization states on Poincare polarization sphere, has been defined. A group of polarization feature parameters used in designing the structure of target recognition device are extracted, and they are insensible to the posture of target.③Target recognition method based on the description of frequency sensitivity. In accordance with the conception of the polarization state distance defined on Poincare polarization sphere, the frequency sensibility of the physical structure property of target has been investigated, the frequency distribution feature curves in PSD domain are obtained, and targets'features are extracted by means of the curve-fitting method with Least Square Criterion.

这章具体研究了基于三种极化散射特性描述的相应的目标识别方法:①基于极化参数平面描述的目标识别方法,将目标回波极化状态投影到以极化椭圆参数,即椭圆率角ε和倾角τ表征的极化状态平面上,参数随观测频率的变化就形成了图,根据图的变化特点构造了目标的多维极化特征空间,并提取了不敏感目标姿态变化的极化特征参数组来设计目标的识别器结构;②基于Poincare极化球面描述的目标识别方法,采用Stokes矢量表征目标回波的极化状态,并将其投影到描述极化状态的Poincare极化球面上,定义了极化频率稳定度的概念用以刻画目标回波极化状态在Poincare极化球面上的动态分布信息,提取了准方位不变性的目标极化特征,最后设计了目标的识别器结构;③基于频率敏感性描述的目标识别方法,通过在Poincare极化球面上所定义的极化状态距离的概念,研究的是复杂目标物理结构特性对探测信号频率的敏感程度问题,获得了在极化状态距离下的频率分布特性曲线,采用最小二乘估计曲线拟合方法,它既用于极化特征的降维,同时又直接将拟合参数作为目标的分类特征。

This paper introduces a physical feature-sensitive topological simplification algorithm for planar vector fields to solve the physical feature preserving problem ignored by pre-existing methods. Its central idea is to classify the vector field region under the application-specified physical criterion, and combine the feature detection of a vector field with its topological simplification.

针对现有拓扑简化方法忽略物理特征保持的缺陷,提出一种对物理特征敏感的平面向量场拓扑简化算法,其中心思想是使用为应用定制的物理判据分类向量场区域,将向量场的特征检出与拓扑简化关联起来。

Depending on the structural feature of the discernible vector, a plus rule for the discernible vector sets was defined, and a scan vector with concise structure but representing the information table can be obtained through scanning the discernible vector just one time.

根据粗糙集理论知识,定义了一个新概念―差别向量,利用差别向量将信息表转换成差别向量组;根据差别向量的结构特征,定义了差别向量加法法则;运用这个加法法则仅需对差别向量组扫描一次,就可以形成结构简洁却能代表原信息表属性特征的扫描向量。

First, a fixed-dimensional feature vector is generated for each protein sequence using the frequency of the hydropathy blocks occurring in the sequence.

首先,利用蛋白质序列中亲水模块的出现频率,每条蛋白质序列被转换为一个特征向量。

In light of 6 standard replicates, we get 6 standard feature vector templates.

在总结本项研究的基础上,提出了该测试标准进一步完善需作的研究工作。

Based on the concept of Chou's pseudo amino acid composition and per residue conservation score calculated with an improved evolutionary conservation algorithm, each protein can be represented as a feature vector created with multi-scale energy.

面对后基因时代产生的海量蛋白质序列数据,迫切需要-些自动、快速、准确地确定蛋白质亚细胞定位的方法。为此,通过整合蛋白质进化保守信息,文章提出一种新的方法预测亚细胞定位。

The feature vector not only describes target regional shape but also characterizes gray statistical distribution of local target region in SAR images.

该特征向量体现了SAR图像区域目标的形状特征和区域的灰度信息。

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