recognition marks

recognition marks的基本解释

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识别标志

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

In this paper we analyze the marks of the 2003 grade students and give some explanations to the results. Three parts are included as follows:(1) In the first chapter we study the 2003 grade students" math term marks and their cet-4 marks according to their entrance marks by using the clustering analysis of ordered sample. From the results we find some factors that affect the students" marks. And we also prepare for the analysis of variance that include quantitative variable.

本文通过对我校2003级学生的各种成绩及相关信息采用不同的统计方法进行分析，并对统计分析结果的实际意义进行解释和讨论，主要涉及以下三方面内容：(1)第一章中用有序样本聚类的原理，对学生的高考成绩和高等数学统考成绩以及四级成绩进行聚类分析，初步找到一些影响学生成绩的因素，同时也为后面包含定量变量的方差分析模型做了准备。

This paper mainly discusses the Han Character Internal Codes recognition algorithms in the Multi-lingual Environment, and provides four recognition algorithms, such as Internal Code Bound Recognition Algorithm, Interpunction Recognition Algorithm, Han Character Frequency Recognition Algorithm and Semantic Recognition Algorithm.

在此基础上，本文对不同的识别算法进行分析和评估。在对目标样本的测试中，以上算法的识别率最高可以达到 99 9%以上。1 前言汉字内码向ISO/IEC 1 0 6 46过渡是必然的趋势，但这需要一个较长的过渡期，在这期间计算机内将存在多种标准不一，互不兼容的内码，称之为多文种的环境[1] 。

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。

与recognition marks相关的网络解释 [注：此内容来源于网络，仅供参考]

fingerprint recognition：指纹辨识

生物辨识技术发展至今,利用生理特徵为大宗,有指纹辨识(Fingerprint Recognition)、人脸(Face Recognition)、虹膜(Iris Recognition)、静脉纹(Vein Recognition)等等,而利用人类行为则有声音、签名甚至步行轨迹等各种模式.

marks indistinct：标志不清标志不清

marks indistinct 标志不清 | marks indistinct 标志不清标志不清 | marks mixed up 标志紊乱

marks mixed up：标志紊乱

marks indistinct 标志不清标志不清 | marks mixed up 标志紊乱 | marks mixed 标志混淆