English translation for "最小距离分类"

minimum distance classification

Related Translations:

最小:  minimum◇最小半径 least radius; 最小公倍数 lowest common multiple (lcm); least common multiple

最小距离:  minimum distanceminimum rangeminor increment

Example Sentences:

	1.	Minimum distance classification 最小距离分类
	2.	Minimum distance classifier is a simple and effective classification method 摘要最小距离分类器是一种简单而有效的分类方法。
	3.	Experiment results show this model has good classification accuracy in most data sets 实验结果表明，加权最小距离分类器具有较高的分类准确率。
	4.	In the process of classification , use minimum distance classifier to obtain recognition results 在识别阶段本文使用了最小距离分类器对待识别人脸进行了分类。
	5.	To improve its classification performance , the main methods were selecting the more effective distance measure 为了提高最小距离分类器的分类性能，主要的改进方法是选择更有效的距离度量。
	6.	On the basis of analyzing the classification principle of decision tree classifier and parallelpiped classifier , a new classification method based on normalized euclidian distance , called wmdc ( weighted minimum distance classifier ) , was proposed 通过分析多重限制分类器和决策树分类器的分类原则，提出了基于标准化欧式距离的加权最小距离分类器。
	7.	In the course of classifiers design , considering that the single classifier has not high recognition rate , we construct a combining classifier with a minimum distance classifier and a fuzzy nn classifier to improve the recognition rate 在分类器设计过程中，考虑到单一分类器的识别率不是很高，本文将最小距离分类器与模糊神经网络分类器结合起来构成一个组合分类器，以期提高人脸识别率。
	8.	Aiming at these problems , the proposed network integration method is improved . three minimum distance classifiers , which extract different local features , are proposed and they are combined to form an integration system by making use of the above methods 针对这些问题，本文对所提出的网络集成方法进行了改进，给出了三个提取不同局部特征的最小距离分类器，并采用上述方法构成了集成型识别系统。
	9.	In the course of classifiers design , this paper recognizes human face with a minimum distance classifier . the similitude of two face image is calculated out by means of distance formulate , and proper threshold is selected to judge whether the two face images belong to one person 在分类器设计过程中，采用最小距离分类器的分类方法进行判断识别，利用距离公式度量两幅人脸图像的相似程度，并选取合适的阈值进行判断识别。
	10.	This thesis explains the necessity of the character recognition technology of the computer at first , describe the meaning in which the handwritten numeral discerns ; pretreatment technology of handwritten numeral recognition , including two value , line segmentation , word segmentation smooth , removing noising , standardization and thinning are discussed two value concretely discusses whole threshold value , some threshold value , dynamic threshold value and utilize space information to carry on threshold , which are several kinds of common method of choosing threshold value , especially utilize space information to carry on threshold value is describe in detail ; adopting to the foundation of thinning based on mathematics morphology , thinning algorithm of serials same and thinning algorithm of protecting shape are discussed ; afterwards , according to principle ' s diagram of the on - line character recognition , by analyzing the structure feature of the handwritten numeral , this thesis has proposed the online recognition te chnology of the free handwritten numeral based on the stroke feature and the online recognition technology of the free handwritten numeral based on the multistage classifying device . detail narrated noise removing , stroke characteristic definition and discernment , distance criterion of whole word match ; then under the foundation of handwritten numeral segmentation , off - line handwritten numeral recognition is researched . especially minimum distance classifying device , tree classifying device and adaptive resonance ( art ) network classifying device is discussed at the same time , believes degree analyses are introduced to integrate a lot of classifying devices ; at the end , the typical application of the handwritten numeral recognition was briefly narrated , its application in extensive data statistics , financial affairs , tax , finance and mail sorting have been explored 二值化时对整体阈值二值化、局部阈值二值化、动态阈值二值化和利用空间信息进行阈值选取几种常用的阈值选取方法进行讨论，特别对利用空间信息进行阈值选取进行了详细论述；在对通过对基于数学形态学的细化的基础上，讨论序贯同伦形态细化算法和保形的快速形态细化算法；然后依据联机字符识别原理框图，分析了手写数字的结构特点，提出了基于笔划特征的任意手写数字在线识别技术和基于多级分类器任意手写数字在线识别技术，对其中涉及的笔划识别前的噪声处理、笔划间特征量的定义及识别、整字匹配的距离准则进行了详细叙述；继而在对手写数字的分割的基础下对脱机手写数字识别进行了研究，对基于最小距离分类器字符识别、基于树分类器的字符识别、基于自适应共振( art )网络的字符识别分别进行了详细讨论，并引入置信度分析将多个分类器进行了混合集成；最后简单阐述了手写数字识别的典型应用，对其在大规模数据统计、财务、税务、金融及邮件分拣中的应用进行了探索。

Similar Words：

"最小拒绝数" English translation, "最小距" English translation, "最小距离" English translation, "最小距离调节" English translation, "最小距离法" English translation, "最小距离分类程序" English translation, "最小距离分类法" English translation, "最小距离分类器" English translation, "最小距离分析程序" English translation, "最小距离估计" English translation