统计模式的英文

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英文翻译
造句

statistical model

统计 statistics; census; numerica ...
模式 model; mode; pattern; type; ...
统计模式分类 statistical pattern classification
统计模式识别 statistic pattern recognition,; statistical pattern recognition
经济人口统计模式 economic demographic model
计算机化统计模式识别 computerized statistical pattern recognition
经济人口统计模式制订 economic demographic modelling
核统计模型 uniform model of nucleus; wigner model of nucleus
统计模拟 statistic simulation; statistical simulation
统计模型 statistical model; statistical modol
统计模型套 nested statistical models
估计模式 estimation model
会计模式 accounting models
设计模式 design mode; design pattern
核的统计模型 statistical model of nucleus
统计模拟方法 monte carlo method
稳定统计模型 stable static model
线性统计模型 linear statistical model
软件设计模式 design pattern (computer science)
标准正交统计模型 orthonormal statistical model
病人关联统计模块 client related statistical module; patient related statistical module
固定参数统计模型 fixed parameter statistical model
超媒体设计模式 hdm
动多态设计模式 dynamic polymorphism design patterns
观察者设计模式 observer design pattern

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例句与用法

Based on statistic pattern recognition principle of identifying the image classification , the exactitude identifies the image of an unqualified glass container
基于统计模式识别原理对处理后图像进行识别分类，正确识别出不合格的玻璃容器的图像。
In the article , a self - learning stochastic method based on the statistical pattern recognition is presented for attitude control under the disturbance of blind mixed gaussian white noises
摘要本文提出一种基于统计模式识别，针对盲混合高斯白噪声干扰下卫星姿态控制的方法。
The process of computer speech recognition is almost the same as that of human ’ s . now the mainstream of speech recognition technology is based on the basic theory of statistic mode recognition
计算机对语音识别的过程和人对语音识别的过程基本上是一致的,目前主流的计算机语音识别技术大都基于统计模式识别的基本理论。
Compared with classical statistical approaches , neural networks approach to pattern recognition have many advantages , such as self - adaptability , parallel processing , robustness and strong classification ability
同时，与传统统计模式识别方法相比，利用人工神经网络方法进行模式识别具有自适应、并行性、鲁棒性、分类能力强等优势。
Statistical pattern recognition methods have been successfully applied to many object recognition problems . one typical example is face recognition , which is the one of the most important fields in patt6rn recognition
统计模式识别方法已经成功地应用到很多目标识别问题中，一个经典的例子就是人脸识别，这是模式识别领域的一个重要研究方向。
By projecting feature vector to every class subspace , the character can be determined to one class in accordance with the projecting length . this is the difference between subspace method and other statistic methods
在分类决策时，将样本特征矢量向各类别子空间投影，由投影长度判别样本归属，这也是子空间方法与其它统计模式识别方法的不同之处。
The thesis presents automatic recognizing methods of modulation types based on statistic model which can enhance processing speed . frequency measurement through phase to recognize modulation types is another main work in this paper
另外，采用基于统计模式的方法做了调制类型自动识别，提高了处理速度；本文还给出了相位测频法进行调制类型识别和检测。
Part i : since the study about breaking onset criteria base on the downward acceleration or on the wave slope shows great discrepancy , the models that estimating breaking probability and whitecap coverage according to these two . criteria are problematic
第一部分：因所采用的动力学或波陡判据的不确定性和海浪谱四阶矩的难以确定，现已提出的关于风浪破碎率和白浪覆盖率的统计模式有一定的不确定性。
A survey of character recognition methods is presented in chapter 3 . comparison of some extracted feature matching algorithms based on statistical pattern recognition is conducted . these features are profile , mesh and projection of micro structure for distinguishing similar characters
作者对车牌汉字识别的特征提取方法进行了研究，首先比较了多种基于统计模式识别的特征提取匹配算法，包括外围面积特征，网格特征和用于区分相似汉字的微结构投影特征。
In present methods of track - to - tack correlation , the false and lost track - to - track correlation have not been taken into account in the complex background with dense targets . so two kinds of methods are proposed to deal with this problem , one of which is the correlation algorithm based on fuzzy synthetic decision and d - s evidence theory , another is based on k - nearest neighbor ( k - nn ) principle and d - s evidence theory . the two methods combine the logic of fuzzy decision and strictness of statistical classification with intelligence of evidential theory successfully
目前的航迹关联方法在密集目标环境下,航迹错关联概率和漏关联概率较大,针对这一问题,本文利用d - s证据理论,提出了基于模糊综合决策的d - s航迹关联方法和基于k近领域的d - s航迹关联方法,两种方法成功地将模糊决策的逻辑性和统计模式分类的严密性与证据理论的智能特性相结合,仿真结果说明了两种方法的有效性和实用性。